diff --git a/.dvc/config b/.dvc/config
index 965664e..a364124 100644
--- a/.dvc/config
+++ b/.dvc/config
@@ -5,4 +5,4 @@
 [cache]
     dir = cache
 ['remote "default-s3-remote"']
-    url = s3://lpm-research/default
+    url = s3://lpm-research/e-stat_japan
diff --git a/data/.dvc/.gitignore b/data/.dvc/.gitignore
new file mode 100644
index 0000000..528f30c
--- /dev/null
+++ b/data/.dvc/.gitignore
@@ -0,0 +1,3 @@
+/config.local
+/tmp
+/cache
diff --git a/data/data.csv.dvc b/data/data.csv.dvc
new file mode 100644
index 0000000..9ab7a25
--- /dev/null
+++ b/data/data.csv.dvc
@@ -0,0 +1,5 @@
+outs:
+- md5: 6d50ebcd33da129d90f40d7bdf39d7cc
+  size: 91972
+  hash: md5
+  path: data.csv
diff --git a/data/fidelity/.gitignore b/data/fidelity/.gitignore
new file mode 100644
index 0000000..c0e4f1d
--- /dev/null
+++ b/data/fidelity/.gitignore
@@ -0,0 +1,3 @@
+/synthetic-data-gensql.csv
+/synthetic-data-gan.csv
+/synthetic-data-copula.csv
diff --git a/data/synthetic-data-copula.csv b/data/synthetic-data-copula.csv
new file mode 100644
index 0000000..1b834e0
--- /dev/null
+++ b/data/synthetic-data-copula.csv
@@ -0,0 +1,1001 @@
+Total_population__Both_sexes_,Taxable_income__million_yen_,Ordinal_Number_of_employed_persons,Number_of_households__Total_,Ordinal_Number_of_physicians,Number_of_dwellings_with_occupying_households,Ordinal_Total_population__65_and_over_,Number_of_lower_secondary_school_students,Number_of_elderly_nursing_facilities__Questionnaire_about_basic_matters_
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diff --git a/data/synthetic-data-gan.csv b/data/synthetic-data-gan.csv
new file mode 100644
index 0000000..48944ca
--- /dev/null
+++ b/data/synthetic-data-gan.csv
@@ -0,0 +1,1001 @@
+Total_population__Both_sexes_,Taxable_income__million_yen_,Ordinal_Number_of_employed_persons,Number_of_households__Total_,Ordinal_Number_of_physicians,Number_of_dwellings_with_occupying_households,Ordinal_Total_population__65_and_over_,Number_of_lower_secondary_school_students,Number_of_elderly_nursing_facilities__Questionnaire_about_basic_matters_
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+c,c,f,c,a,,c,d,a
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+c,,e,c,a,b,d,c,a
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+c,c,e,d,a,b,c,d,a
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+a,a,e,a,a,b,c,d,d
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+c,c,f,c,a,b,d,d,d
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+c,a,e,c,a,,c,b,b
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+c,,e,a,a,b,d,c,d
+c,c,f,c,a,b,c,b,b
+a,b,e,b,a,,e,a,a
+d,b,e,a,a,,c,b,a
+d,c,e,c,a,d,d,a,b
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+c,c,f,a,a,a,d,c,b
+d,d,e,b,a,b,b,c,d
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+b,a,f,a,a,,d,b,a
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+b,d,f,a,a,,c,b,a
+c,a,e,d,a,b,d,c,c
+c,b,e,b,a,d,c,b,d
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+d,c,f,b,a,,e,d,d
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+b,c,g,b,a,b,d,a,c
+a,,e,d,a,,e,a,a
+a,a,h,a,a,c,f,b,a
+b,,f,d,a,c,d,c,a
+c,c,f,b,a,c,c,c,a
+d,d,e,b,a,b,d,c,b
+c,d,e,b,a,b,d,d,c
+d,c,e,c,a,b,d,b,d
+c,c,e,a,a,,c,b,b
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+d,d,e,c,a,c,d,c,d
+d,c,f,d,a,b,c,d,b
+c,c,g,a,a,c,e,a,d
+a,a,f,a,a,c,d,a,b
+a,a,e,a,a,c,c,a,d
+d,d,e,d,a,d,d,c,a
+a,c,f,c,a,,d,b,d
+a,c,e,c,a,a,f,b,c
+a,d,e,a,a,,f,d,a
+b,c,e,c,a,a,c,c,b
+a,d,d,b,a,,e,b,b
+a,a,f,a,a,,e,a,c
+c,d,f,b,a,c,c,b,a
+d,d,e,d,a,d,c,c,c
+c,a,e,d,a,c,f,b,d
+c,b,f,a,a,,d,d,a
+c,d,e,c,a,b,b,d,a
+c,a,e,c,a,,d,c,b
+a,a,d,a,a,c,d,a,a
diff --git a/dvc.lock b/dvc.lock
index b25d046..dbcbec9 100644
--- a/dvc.lock
+++ b/dvc.lock
@@ -1,13 +1,13 @@
 schema: '2.0'
 stages:
   subsample:
-    cmd: "mkdir -p data/test && python scripts/subsample.py --data data/data.csv --test-data-dir\
-      \ data/test --params params.yaml --output data/subsampled.csv\n"
+    cmd: "mkdir -p data/test && python scripts/subsample.py --data data/data.csv --test-data-dir
+      data/test --params params.yaml --output data/subsampled.csv\n"
     deps:
     - path: data/data.csv
       hash: md5
-      md5: 2652c974be9aa49bd50061377d39563d
-      size: 313452
+      md5: 61a5fd7f3037d01741bff5fd67feed61
+      size: 46028
     - path: scripts/subsample.py
       hash: md5
       md5: e984c015340dc2e50d926b4e3931b9dd
@@ -20,190 +20,201 @@ stages:
     outs:
     - path: data/subsampled.csv
       hash: md5
-      md5: 54da26f21f0fee6db642e1761ebe69b9
-      size: 268196
+      md5: 90bbf6bd98dd82bff9d3da618fe51cc9
+      size: 23605
     - path: data/test
       hash: md5
-      md5: b8d3099ce11e7976c280f51cf51cbb96.dir
-      size: 45938
-      nfiles: 2
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0
   validate-column-names:
     cmd: bin/validate.sh
     deps:
     - path: data/subsampled.csv
       hash: md5
-      md5: 54da26f21f0fee6db642e1761ebe69b9
-      size: 268196
+      md5: 90bbf6bd98dd82bff9d3da618fe51cc9
+      size: 23605
     outs:
     - path: data/validated.csv
       hash: md5
-      md5: 54da26f21f0fee6db642e1761ebe69b9
-      size: 268196
+      md5: 90bbf6bd98dd82bff9d3da618fe51cc9
+      size: 23605
   nullify:
-    cmd: "clojure -X gensql.structure-learning.main/nullify < data/validated.csv >\
-      \ data/nullified.csv\n"
+    cmd: "clojure -X gensql.structure-learning.main/nullify < data/validated.csv >
+      data/nullified.csv\n"
     deps:
     - path: data/validated.csv
       hash: md5
-      md5: 54da26f21f0fee6db642e1761ebe69b9
-      size: 268196
+      md5: 90bbf6bd98dd82bff9d3da618fe51cc9
+      size: 23605
     params:
       params.yaml:
         nullify:
+        - NaN
+        - missing
     outs:
     - path: data/nullified.csv
       hash: md5
-      md5: 54da26f21f0fee6db642e1761ebe69b9
-      size: 268196
+      md5: 90bbf6bd98dd82bff9d3da618fe51cc9
+      size: 23605
   guess-schema:
-    cmd: "clojure -X gensql.structure-learning.main/guess-schema < data/nullified.csv\
-      \ > data/schema.edn\n"
+    cmd: "clojure -X gensql.structure-learning.main/guess-schema < data/nullified.csv
+      > data/schema.edn\n"
     deps:
     - path: data/nullified.csv
       hash: md5
-      md5: 54da26f21f0fee6db642e1761ebe69b9
-      size: 268196
+      md5: 90bbf6bd98dd82bff9d3da618fe51cc9
+      size: 23605
     params:
       params.yaml:
         schema:
+          Municipality: ignore
+          Total_population__Both_sexes_: nominal
+          Taxable_income__million_yen_: nominal
+          Ordinal_Number_of_employed_persons: nominal
+          Number_of_households__Total_: nominal
+          Ordinal_Number_of_physicians: nominal
+          Number_of_dwellings_with_occupying_households: nominal
+          Ordinal_Total_population__65_and_over_: nominal
+          Number_of_elderly_nursing_facilities__Questionnaire_about_basic_matters_: nominal
+          Number_of_lower_secondary_school_students: nominal
     outs:
     - path: data/schema.edn
       hash: md5
-      md5: 50689cad3539b17cfc255d6dc2545e1c
-      size: 601
+      md5: 5520eb91d4bc6d08a6ee45d7c4a19a74
+      size: 485
   cgpm-schema:
-    cmd: "clojure -X gensql.structure-learning.main/cgpm-schema < data/schema.edn\
-      \ > data/cgpm-schema.edn\n"
+    cmd: "clojure -X gensql.structure-learning.main/cgpm-schema < data/schema.edn
+      > data/cgpm-schema.edn\n"
     deps:
     - path: data/schema.edn
       hash: md5
-      md5: 50689cad3539b17cfc255d6dc2545e1c
-      size: 601
+      md5: 5520eb91d4bc6d08a6ee45d7c4a19a74
+      size: 485
     outs:
     - path: data/cgpm-schema.edn
       hash: md5
-      md5: 7e6b6810bece6d68677b7f69b0a9bb6b
-      size: 186
+      md5: 760794aebce88e08dd14596b46311ebe
+      size: 505
   ignore:
     cmd: "clojure -X gensql.structure-learning.main/ignore :schema '\"data/schema.edn\"\
       ' < data/nullified.csv > data/ignored.csv\n"
     deps:
     - path: data/nullified.csv
       hash: md5
-      md5: 54da26f21f0fee6db642e1761ebe69b9
-      size: 268196
+      md5: 90bbf6bd98dd82bff9d3da618fe51cc9
+      size: 23605
     - path: data/schema.edn
       hash: md5
-      md5: 50689cad3539b17cfc255d6dc2545e1c
-      size: 601
+      md5: 5520eb91d4bc6d08a6ee45d7c4a19a74
+      size: 485
     outs:
     - path: data/ignored.csv
       hash: md5
-      md5: 5ffeb41f4182b8f7f062b5f13230557d
-      size: 77540
+      md5: 0f31ce8a5706de864b2c503a540b4ac1
+      size: 17911
   numericalize:
     cmd: "clojure -X gensql.structure-learning.main/numericalize :schema '\"data/schema.edn\"\
       ' :table data/mapping-table.edn < data/ignored.csv > data/numericalized.csv\n"
     deps:
     - path: data/ignored.csv
       hash: md5
-      md5: 5ffeb41f4182b8f7f062b5f13230557d
-      size: 77540
+      md5: 0f31ce8a5706de864b2c503a540b4ac1
+      size: 17911
     - path: data/schema.edn
       hash: md5
-      md5: 50689cad3539b17cfc255d6dc2545e1c
-      size: 601
+      md5: 5520eb91d4bc6d08a6ee45d7c4a19a74
+      size: 485
     outs:
     - path: data/mapping-table.edn
       hash: md5
-      md5: 1d3e7314f20a2b2d50deff70b323f428
-      size: 3210
+      md5: d5fea59455202ff2741e813364e0c1e8
+      size: 647
     - path: data/numericalized.csv
       hash: md5
-      md5: 345eaad4a50da45d1f4d50d326de0f2b
-      size: 11932
+      md5: c3f1c52ae42af0e4e18afa96bec9834d
+      size: 17911
   loom-schema:
-    cmd: "clojure -X gensql.structure-learning.main/loom-schema < data/schema.edn\
-      \ > data/loom-schema.json\n"
+    cmd: "clojure -X gensql.structure-learning.main/loom-schema < data/schema.edn
+      > data/loom-schema.json\n"
     deps:
     - path: data/schema.edn
       hash: md5
-      md5: 50689cad3539b17cfc255d6dc2545e1c
-      size: 601
+      md5: 5520eb91d4bc6d08a6ee45d7c4a19a74
+      size: 485
     outs:
     - path: data/loom-schema.json
       hash: md5
-      md5: 68f027a12982e5d4f01f40fe0450b281
-      size: 127
+      md5: c7f8e3dcb424006ec9aaf56ddf23de3b
+      size: 416
   loom-ingest:
     cmd: ./bin/loom_task ingest loom data/loom-schema.json data/numericalized.csv
     deps:
     - path: data/loom-schema.json
       hash: md5
-      md5: 68f027a12982e5d4f01f40fe0450b281
-      size: 127
+      md5: c7f8e3dcb424006ec9aaf56ddf23de3b
+      size: 416
     - path: data/numericalized.csv
       hash: md5
-      md5: 345eaad4a50da45d1f4d50d326de0f2b
-      size: 11932
+      md5: c3f1c52ae42af0e4e18afa96bec9834d
+      size: 17911
     outs:
     - path: loom/ingest
       hash: md5
-      md5: 442c82a1ca799f1a0a92ec930bf6fa9b.dir
-      size: 17782
+      md5: d9bd017d6752b3991f1e41fdcf15d3ec.dir
+      size: 16257
       nfiles: 7
     - path: loom/query
       hash: md5
-      md5: 6e16965d6127bf5d755ebfb8b4f558c2.dir
+      md5: fb1f0540b724515dda7b04fc59a49875.dir
       size: 106
       nfiles: 1
   loom-infer-config:
     cmd: "clojure -X gensql.structure-learning.main/infer-config < params.yaml > data/infer-config.json\n"
     params:
       params.yaml:
-        loom.extra_passes: 1
+        loom.extra_passes: 100
         seed: 0
     outs:
     - path: data/infer-config.json
       hash: md5
-      md5: 3781d3c543c1a1f8977a7d2ff1c4601c
-      size: 40
+      md5: b9fe21c5095ee00c8fb4a6bb0f002cd1
+      size: 42
   loom-infer:
-    cmd: ./bin/loom_task infer loom 3 data/infer-config.json
+    cmd: ./bin/loom_task infer loom 1 data/infer-config.json
     deps:
     - path: data/infer-config.json
       hash: md5
-      md5: 3781d3c543c1a1f8977a7d2ff1c4601c
-      size: 40
+      md5: b9fe21c5095ee00c8fb4a6bb0f002cd1
+      size: 42
     - path: loom/ingest
       hash: md5
-      md5: 442c82a1ca799f1a0a92ec930bf6fa9b.dir
-      size: 17782
+      md5: d9bd017d6752b3991f1e41fdcf15d3ec.dir
+      size: 16257
       nfiles: 7
     - path: loom/query
       hash: md5
-      md5: 6e16965d6127bf5d755ebfb8b4f558c2.dir
+      md5: fb1f0540b724515dda7b04fc59a49875.dir
       size: 106
       nfiles: 1
     params:
       params.yaml:
-        sample_count: 3
+        sample_count: 1
     outs:
     - path: loom/samples
       hash: md5
-      md5: da9a3174280400cb1fd369db15678dd7.dir
-      size: 52543
-      nfiles: 22
+      md5: 840b7af41958ba0b1737b45d58587c5f.dir
+      size: 103719
+      nfiles: 7
   loom-dump-metadata:
-    cmd: "mkdir -p data/cgpm/raw && find loom/samples -mindepth 1 -maxdepth 1 -type\
-      \ d | parallel --verbose ./bin/loom python scripts/loom_dump.py {} --output\
-      \ data/cgpm/raw/{/}.json\n"
+    cmd: "mkdir -p data/cgpm/raw && find loom/samples -mindepth 1 -maxdepth 1 -type
+      d | parallel --verbose ./bin/loom python scripts/loom_dump.py {} --output data/cgpm/raw/{/}.json\n"
     deps:
     - path: loom/samples
       hash: md5
-      md5: da9a3174280400cb1fd369db15678dd7.dir
-      size: 52543
-      nfiles: 22
+      md5: 840b7af41958ba0b1737b45d58587c5f.dir
+      size: 103719
+      nfiles: 7
     - path: scripts/loom_dump.py
       hash: md5
       md5: c43616fe12258e9314fe1b481a6971e8
@@ -214,34 +225,33 @@ stages:
     outs:
     - path: data/cgpm/raw
       hash: md5
-      md5: e575cb2e33443ba82f8d4c450180a5bc.dir
-      size: 12284
-      nfiles: 3
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0
   cgpm-hydrate-metadata:
-    cmd: "find data/cgpm/raw -type f | parallel jsonschema --instance {} schemas/cgpm.json\
-      \ && mkdir -p data/cgpm/hydrated && rm -f data/cgpm/inf.log && find data/cgpm/raw\
-      \ -type f | sort | parallel --verbose 'python scripts/cgpm_hydrate.py --metadata\
-      \ {} --output data/cgpm/hydrated/{/} --data data/numericalized.csv --schema\
-      \ data/cgpm-schema.edn --mapping-table data/mapping-table.edn --seed $((0 +\
-      \ {#} - 1))'\n"
+    cmd: "find data/cgpm/raw -type f | parallel jsonschema --instance {} schemas/cgpm.json
+      && mkdir -p data/cgpm/hydrated && rm -f data/cgpm/inf.log && find data/cgpm/raw
+      -type f | sort | parallel --verbose 'python scripts/cgpm_hydrate.py --metadata
+      {} --output data/cgpm/hydrated/{/} --data data/numericalized.csv --schema data/cgpm-schema.edn
+      --mapping-table data/mapping-table.edn --seed $((0 + {#} - 1))'\n"
     deps:
     - path: data/cgpm-schema.edn
       hash: md5
-      md5: 7e6b6810bece6d68677b7f69b0a9bb6b
-      size: 186
+      md5: 760794aebce88e08dd14596b46311ebe
+      size: 505
     - path: data/cgpm/raw
       hash: md5
-      md5: e575cb2e33443ba82f8d4c450180a5bc.dir
-      size: 12284
-      nfiles: 3
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0
     - path: data/mapping-table.edn
       hash: md5
-      md5: 1d3e7314f20a2b2d50deff70b323f428
-      size: 3210
+      md5: d5fea59455202ff2741e813364e0c1e8
+      size: 647
     - path: data/numericalized.csv
       hash: md5
-      md5: 345eaad4a50da45d1f4d50d326de0f2b
-      size: 11932
+      md5: c3f1c52ae42af0e4e18afa96bec9834d
+      size: 17911
     - path: schemas/cgpm.json
       hash: md5
       md5: 75fb21013e98a73e03fbe1ace14426f2
@@ -257,26 +267,26 @@ stages:
     outs:
     - path: data/cgpm/hydrated
       hash: md5
-      md5: f0b203a84011a47c6efc7ce8e411898e.dir
-      size: 125827
-      nfiles: 3
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0
   cgpm-infer-hyperparameters:
-    cmd: "find data/cgpm/hydrated -type f | parallel jsonschema --instance {} schemas/cgpm.json\
-      \ && mkdir -p data/cgpm/complete && echo 1 >> data/cgpm/inf.log && find data/cgpm/hydrated\
-      \ -type f | sort | parallel --verbose 'python scripts/cgpm_infer.py {} --kernel\
-      \ alpha --kernel view_alphas --kernel column_hypers --kernel rows --kernel columns\
-      \ --output data/cgpm/complete/{/} --data data/numericalized.csv --params params.yaml\
-      \ --seed $((0 + {#} - 1)) --minutes 1' #--iterations 1\n"
+    cmd: "find data/cgpm/hydrated -type f | parallel jsonschema --instance {} schemas/cgpm.json
+      && mkdir -p data/cgpm/complete && echo 450 >> data/cgpm/inf.log && find data/cgpm/hydrated
+      -type f | sort | parallel --verbose 'python scripts/cgpm_infer.py {} --kernel
+      alpha --kernel view_alphas --kernel column_hypers --kernel rows --kernel columns
+      --output data/cgpm/complete/{/} --data data/numericalized.csv --params params.yaml
+      --seed $((0 + {#} - 1)) --minutes 450' #--iterations 1\n"
     deps:
     - path: data/cgpm/hydrated
       hash: md5
-      md5: f0b203a84011a47c6efc7ce8e411898e.dir
-      size: 125827
-      nfiles: 3
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0
     - path: data/numericalized.csv
       hash: md5
-      md5: 345eaad4a50da45d1f4d50d326de0f2b
-      size: 11932
+      md5: c3f1c52ae42af0e4e18afa96bec9834d
+      size: 17911
     - path: schemas/cgpm.json
       hash: md5
       md5: 75fb21013e98a73e03fbe1ace14426f2
@@ -289,38 +299,38 @@ stages:
       params.yaml:
         cgpm:
           iterations: 1
-          minutes: 1
+          minutes: 450
         parallel.flags: --verbose
         seed: 0
     outs:
     - path: data/cgpm/complete
       hash: md5
-      md5: b01aaee70e74d3ad3b3dcca27ab61313.dir
-      size: 117849
-      nfiles: 3
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0
   save-dependencies:
-    cmd: "find data/cgpm/complete -type f | sort | xargs python scripts/dep_prob.py\
-      \ --data data/numericalized.csv --output data/dep-prob.json\n"
+    cmd: "find data/cgpm/complete -type f | sort | xargs python scripts/dep_prob.py
+      --data data/numericalized.csv --output data/dep-prob.json\n"
     deps:
     - path: data/cgpm/complete
       hash: md5
-      md5: b01aaee70e74d3ad3b3dcca27ab61313.dir
-      size: 117849
-      nfiles: 3
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0
     outs:
     - path: data/dep-prob.json
       hash: md5
-      md5: 03184adcfc0c6721bd5cdabef8098169
-      size: 774
+      md5: 9f23e3e3b128e86caca2a74ee57128b4
+      size: 3789
   save-max-number-views:
-    cmd: "find data/cgpm/complete -type f | xargs python scripts/save_n_views.py >>\
-      \ data/max-number-views.txt\n"
+    cmd: "find data/cgpm/complete -type f | xargs python scripts/save_n_views.py >>
+      data/max-number-views.txt\n"
     deps:
     - path: data/cgpm/complete
       hash: md5
-      md5: b01aaee70e74d3ad3b3dcca27ab61313.dir
-      size: 117849
-      nfiles: 3
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0
     outs:
     - path: data/max-number-views.txt
       hash: md5
@@ -328,13 +338,13 @@ stages:
       size: 1
   dep-prob-vl:
     cmd: "clojure -X gensql.structure-learning.heatmap/vega-lite :stats-path '\"data/dep-prob.json\"\
-      ' :domain '[0.0 1.0]' :default 1.0 :name '\"crosscat\"' :scheme '\"blues\"'\
-      \ > data/dep-prob.vl.json\n"
+      ' :domain '[0.0 1.0]' :default 1.0 :name '\"crosscat\"' :scheme '\"blues\"'
+      > data/dep-prob.vl.json\n"
     deps:
     - path: data/dep-prob.json
       hash: md5
-      md5: 03184adcfc0c6721bd5cdabef8098169
-      size: 774
+      md5: 9f23e3e3b128e86caca2a74ee57128b4
+      size: 3789
     - path: src/clojure/gensql/structure_learning/heatmap.clj
       hash: md5
       md5: 1a9cd1bb8a534431a3836ed066758616
@@ -342,44 +352,44 @@ stages:
     outs:
     - path: data/dep-prob.vl.json
       hash: md5
-      md5: e8678ddc010f3b17c3d3d7ede9d09679
-      size: 2852
+      md5: c0ffdb4672a6367359bfa6f4d5028eb0
+      size: 10303
   dep-prob-vg:
     cmd: "pnpm vl2vg < data/dep-prob.vl.json > data/dep-prob.vg.json\n"
     deps:
     - path: data/dep-prob.vl.json
       hash: md5
-      md5: e8678ddc010f3b17c3d3d7ede9d09679
-      size: 2852
+      md5: c0ffdb4672a6367359bfa6f4d5028eb0
+      size: 10303
     outs:
     - path: data/dep-prob.vg.json
       hash: md5
-      md5: 90b6c1771e1d158da81074ad448005d8
-      size: 4675
+      md5: ebf7dd5ffd0cf3cf502eac3b622978a8
+      size: 12192
   dep-prob-svg:
     cmd: "pnpm vg2svg < data/dep-prob.vg.json > data/dep-prob.svg\n"
     deps:
     - path: data/dep-prob.vg.json
       hash: md5
-      md5: 90b6c1771e1d158da81074ad448005d8
-      size: 4675
+      md5: ebf7dd5ffd0cf3cf502eac3b622978a8
+      size: 12192
     outs:
     - path: data/dep-prob.svg
       hash: md5
-      md5: 0718cc6f9322663ea01449cf858ff65b
-      size: 13898
+      md5: 6470c695c5e27880a069417397d9f6a0
+      size: 28176
   save-linear-stats:
-    cmd: "python scripts/linear_stats.py --data data/ignored.csv --schema data/schema.edn\
-      \ --output data/linear-stats.json\n"
+    cmd: "python scripts/linear_stats.py --data data/ignored.csv --schema data/schema.edn
+      --output data/linear-stats.json\n"
     deps:
     - path: data/ignored.csv
       hash: md5
-      md5: 5ffeb41f4182b8f7f062b5f13230557d
-      size: 77540
+      md5: 0f31ce8a5706de864b2c503a540b4ac1
+      size: 17911
     - path: data/schema.edn
       hash: md5
-      md5: 50689cad3539b17cfc255d6dc2545e1c
-      size: 601
+      md5: 5520eb91d4bc6d08a6ee45d7c4a19a74
+      size: 485
     - path: scripts/linear_stats.py
       hash: md5
       md5: d5ebd4d1195a949b7c66ea7b77447f11
@@ -387,21 +397,21 @@ stages:
     outs:
     - path: data/linear-stats.json
       hash: md5
-      md5: d5e5ecd37ebd8d5cd03c1bbd6a6fe7f6
-      size: 2899
+      md5: 6dde33046d38296b9adb8a8fd995b347
+      size: 8056
   linear-stats-vl:
     cmd: "clojure -X gensql.structure-learning.heatmap/vega-lite :stats-path '\"data/linear-stats.json\"\
-      ' :sort-path '\"data/dep-prob.json\"' :domain '[1.0 0.0]' :default 0.0 :name\
-      \ '\"statistics\"' :field '\"p-value\"' :scheme '\"oranges\"' > data/linear-stats.vl.json\n"
+      ' :sort-path '\"data/dep-prob.json\"' :domain '[1.0 0.0]' :default 0.0 :name
+      '\"statistics\"' :field '\"p-value\"' :scheme '\"oranges\"' > data/linear-stats.vl.json\n"
     deps:
     - path: data/dep-prob.json
       hash: md5
-      md5: 03184adcfc0c6721bd5cdabef8098169
-      size: 774
+      md5: 9f23e3e3b128e86caca2a74ee57128b4
+      size: 3789
     - path: data/linear-stats.json
       hash: md5
-      md5: d5e5ecd37ebd8d5cd03c1bbd6a6fe7f6
-      size: 2899
+      md5: 6dde33046d38296b9adb8a8fd995b347
+      size: 8056
     - path: src/clojure/gensql/structure_learning/heatmap.clj
       hash: md5
       md5: 1a9cd1bb8a534431a3836ed066758616
@@ -409,67 +419,67 @@ stages:
     outs:
     - path: data/linear-stats.vl.json
       hash: md5
-      md5: 1d564d040268106c284b268dd7618abd
-      size: 3489
+      md5: 3af41ba4c8ba4e17dfd3a5d332ecd271
+      size: 11304
   linear-stats-vg:
     cmd: "pnpm vl2vg < data/linear-stats.vl.json > data/linear-stats.vg.json\n"
     deps:
     - path: data/linear-stats.vl.json
       hash: md5
-      md5: 1d564d040268106c284b268dd7618abd
-      size: 3489
+      md5: 3af41ba4c8ba4e17dfd3a5d332ecd271
+      size: 11304
     outs:
     - path: data/linear-stats.vg.json
       hash: md5
-      md5: a7e6eba1560d847892d815d127e76d8a
-      size: 5381
+      md5: d92235b318a68b7ca1ba940356b51002
+      size: 13290
   linear-stats-svg:
     cmd: "pnpm vg2svg < data/linear-stats.vg.json > data/linear-stats.svg\n"
     deps:
     - path: data/linear-stats.vg.json
       hash: md5
-      md5: a7e6eba1560d847892d815d127e76d8a
-      size: 5381
+      md5: d92235b318a68b7ca1ba940356b51002
+      size: 13290
     outs:
     - path: data/linear-stats.svg
       hash: md5
-      md5: 7eb988a7222ad2519f5819f6ea22da85
-      size: 14507
+      md5: f7d051b7034a4447b74be3c44cec29d1
+      size: 29104
   compare-dep-prob-with-linear:
-    cmd: "python scripts/compare_deps.py --deps data/dep-prob.json --linear data/linear-stats.json\
-      \ >> data/qc-statistical-tests.txt\n"
+    cmd: "python scripts/compare_deps.py --deps data/dep-prob.json --linear data/linear-stats.json
+      >> data/qc-statistical-tests.txt\n"
     deps:
     - path: data/dep-prob.json
       hash: md5
-      md5: 03184adcfc0c6721bd5cdabef8098169
-      size: 774
+      md5: 9f23e3e3b128e86caca2a74ee57128b4
+      size: 3789
     - path: data/linear-stats.json
       hash: md5
-      md5: d5e5ecd37ebd8d5cd03c1bbd6a6fe7f6
-      size: 2899
+      md5: 6dde33046d38296b9adb8a8fd995b347
+      size: 8056
     outs:
     - path: data/qc-statistical-tests.txt
       hash: md5
-      md5: 0d13981f8869abf58feab894ba234aa2
-      size: 344
+      md5: f71635a88039f2c13051b44b74acc0bb
+      size: 1049
   ast-export:
     cmd:
     - 'parallel --verbose jsonschema --instance {} schemas/cgpm.json :::: <(find data/cgpm/complete
       -type f)'
     - mkdir -p data/ast
-    - "parallel --verbose 'python scripts/ast_export.py --metadata {} --data data/numericalized.csv\
-      \ --mapping-table data/mapping-table.edn --output data/ast/{/.}.edn' :::: <(find\
-      \ data/cgpm/complete -type f)"
+    - "parallel --verbose 'python scripts/ast_export.py --metadata {} --data data/numericalized.csv
+      --mapping-table data/mapping-table.edn --output data/ast/{/.}.edn' :::: <(find
+      data/cgpm/complete -type f)"
     deps:
     - path: data/cgpm/complete
       hash: md5
-      md5: b01aaee70e74d3ad3b3dcca27ab61313.dir
-      size: 117849
-      nfiles: 3
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0
     - path: data/ignored.csv
       hash: md5
-      md5: 5ffeb41f4182b8f7f062b5f13230557d
-      size: 77540
+      md5: 0f31ce8a5706de864b2c503a540b4ac1
+      size: 17911
     - path: scripts/ast_export.py
       hash: md5
       md5: 301e377deb0aaf75b1a961a6d91153a8
@@ -480,21 +490,21 @@ stages:
     outs:
     - path: data/ast
       hash: md5
-      md5: d723a36d25e183298f79243c03aaa292.dir
-      size: 98691
-      nfiles: 3
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0
   sppl-import:
     cmd:
     - mkdir -p data/sppl/unmerged
-    - "parallel --verbose 'python scripts/sppl_import.py --multi-mix-ast {} --max-number-views\
-      \ data/max-number-views.txt --output data/sppl/unmerged/{/.}.json' :::: <(find\
-      \ data/ast -type f)"
+    - "parallel --verbose 'python scripts/sppl_import.py --multi-mix-ast {} --max-number-views
+      data/max-number-views.txt --output data/sppl/unmerged/{/.}.json' :::: <(find
+      data/ast -type f)"
     deps:
     - path: data/ast
       hash: md5
-      md5: d723a36d25e183298f79243c03aaa292.dir
-      size: 98691
-      nfiles: 3
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0
     - path: data/max-number-views.txt
       hash: md5
       md5: c4ca4238a0b923820dcc509a6f75849b
@@ -509,35 +519,35 @@ stages:
     outs:
     - path: data/sppl/unmerged
       hash: md5
-      md5: 857a3be1934d586ff87c54821129a3f2.dir
-      size: 77713
-      nfiles: 3
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0
   sppl-merge:
-    cmd: "find data/sppl/unmerged -type f | sort | xargs python scripts/sppl_merge.py\
-      \ --output data/sppl/merged.json\n"
+    cmd: "find data/sppl/unmerged -type f | sort | xargs python scripts/sppl_merge.py
+      --output data/sppl/merged.json\n"
     deps:
     - path: data/sppl/unmerged
       hash: md5
-      md5: 857a3be1934d586ff87c54821129a3f2.dir
-      size: 77713
-      nfiles: 3
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0
     outs:
     - path: data/sppl/merged.json
       hash: md5
-      md5: ca230a9375be713e0776d2dd1d24ee58
-      size: 78194
+      md5: 9b43b5adb620c8592befe130bb97db37
+      size: 15784
   sppl-sample:
-    cmd: "python scripts/sppl_sample.py --model data/sppl/merged.json --data data/ignored.csv\
-      \ > data/synthetic-data-gensql.csv # --sample_count 1000\n"
+    cmd: "python scripts/sppl_sample.py --model data/sppl/merged.json --data data/ignored.csv
+      > data/synthetic-data-gensql.csv # --sample_count 1000\n"
     deps:
     - path: data/ignored.csv
       hash: md5
-      md5: 5ffeb41f4182b8f7f062b5f13230557d
-      size: 77540
+      md5: 0f31ce8a5706de864b2c503a540b4ac1
+      size: 17911
     - path: data/sppl/merged.json
       hash: md5
-      md5: ca230a9375be713e0776d2dd1d24ee58
-      size: 78194
+      md5: 9b43b5adb620c8592befe130bb97db37
+      size: 15784
     - path: scripts/sppl_sample.py
       hash: md5
       md5: 65c711874e0eda0e7d79b4a4a3eb6076
@@ -545,20 +555,20 @@ stages:
     outs:
     - path: data/synthetic-data-gensql.csv
       hash: md5
-      md5: a46403f9fa02b0dc465eac9015bd45d0
-      size: 84636
+      md5: c0b97869f77a0366fa8c94af8b9e54ed
+      size: 18352
   qc-tag-samples:
-    cmd: "clojure -X gensql.structure-learning.qc.samples/tag :data data/ignored.csv\
-      \ :samples-synthetic data/synthetic-data-gensql.csv > qc/samples/samples.edn\n"
+    cmd: "clojure -X gensql.structure-learning.qc.samples/tag :data data/ignored.csv
+      :samples-synthetic data/synthetic-data-gensql.csv > qc/samples/samples.edn\n"
     deps:
     - path: data/ignored.csv
       hash: md5
-      md5: 5ffeb41f4182b8f7f062b5f13230557d
-      size: 77540
+      md5: 0f31ce8a5706de864b2c503a540b4ac1
+      size: 17911
     - path: data/synthetic-data-gensql.csv
       hash: md5
-      md5: a46403f9fa02b0dc465eac9015bd45d0
-      size: 84636
+      md5: c0b97869f77a0366fa8c94af8b9e54ed
+      size: 18352
     - path: src/clojure/gensql/structure_learning/qc/samples.clj
       hash: md5
       md5: e34e26db3736bb02dd084800c9d6af72
@@ -566,37 +576,37 @@ stages:
     outs:
     - path: qc/samples/samples.edn
       hash: md5
-      md5: 67456841283640cd962e574599a73be9
-      size: 442526
+      md5: a678c18efbaf5b964085e139750818c8
+      size: 882785
   xcat-complete-import:
     cmd:
     - mkdir -p data/xcat/complete/
-    - "parallel --verbose 'clojure -X gensql.structure-learning.xcat/import :cgpm-json\
-      \ {} :data-csv data/ignored.csv :mapping-table data/mapping-table.edn :numericalized-csv\
-      \ data/numericalized.csv :schema-edn data/schema.edn > data/xcat/complete/{/.}.edn'\
-      \ :::: <(find data/cgpm/complete -type f)"
+    - "parallel --verbose 'clojure -X gensql.structure-learning.xcat/import :cgpm-json
+      {} :data-csv data/ignored.csv :mapping-table data/mapping-table.edn :numericalized-csv
+      data/numericalized.csv :schema-edn data/schema.edn > data/xcat/complete/{/.}.edn'
+      :::: <(find data/cgpm/complete -type f)"
     deps:
     - path: data/cgpm/complete
       hash: md5
-      md5: b01aaee70e74d3ad3b3dcca27ab61313.dir
-      size: 117849
-      nfiles: 3
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0
     - path: data/ignored.csv
       hash: md5
-      md5: 5ffeb41f4182b8f7f062b5f13230557d
-      size: 77540
+      md5: 0f31ce8a5706de864b2c503a540b4ac1
+      size: 17911
     - path: data/mapping-table.edn
       hash: md5
-      md5: 1d3e7314f20a2b2d50deff70b323f428
-      size: 3210
+      md5: d5fea59455202ff2741e813364e0c1e8
+      size: 647
     - path: data/numericalized.csv
       hash: md5
-      md5: 345eaad4a50da45d1f4d50d326de0f2b
-      size: 11932
+      md5: c3f1c52ae42af0e4e18afa96bec9834d
+      size: 17911
     - path: data/schema.edn
       hash: md5
-      md5: 50689cad3539b17cfc255d6dc2545e1c
-      size: 601
+      md5: 5520eb91d4bc6d08a6ee45d7c4a19a74
+      size: 485
     - path: src/clojure/gensql/structure_learning/xcat.clj
       hash: md5
       md5: 50de15b94242c6c71b6822f11cb58771
@@ -607,39 +617,39 @@ stages:
     outs:
     - path: data/xcat/complete/
       hash: md5
-      md5: 56cb77fd3801d7cbf5e7504284d45003.dir
-      size: 783240
-      nfiles: 3
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0
   xcat-merge:
-    cmd: "clj -X gensql.structure-learning.clojurecat/merge :models data/xcat/complete\
-      \ :out data/xcat/xcat.merged.edn\n"
+    cmd: "clj -X gensql.structure-learning.clojurecat/merge :models data/xcat/complete
+      :out data/xcat/xcat.merged.edn\n"
     deps:
     - path: data/xcat/complete
       hash: md5
-      md5: 56cb77fd3801d7cbf5e7504284d45003.dir
-      size: 783240
-      nfiles: 3
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0
     outs:
     - path: data/xcat/xcat.merged.edn
       hash: md5
-      md5: fee4f7c7a25a88fecb6a2de9e75ef5b0
-      size: 783288
+      md5: 6f3da0fd910ecd77f789c7bf9db9edf4
+      size: 242028
   qc-dashboard-spec:
-    cmd: "clojure -X gensql.structure-learning.qc.dashboard/spec :samples qc/samples/samples.edn\
-      \ :schema data/schema.edn :correlation data/linear-stats.json > qc/specs/qc-dashboard.vl.json\n"
+    cmd: "clojure -X gensql.structure-learning.qc.dashboard/spec :samples qc/samples/samples.edn
+      :schema data/schema.edn :correlation data/linear-stats.json > qc/specs/qc-dashboard.vl.json\n"
     deps:
     - path: data/linear-stats.json
       hash: md5
-      md5: d5e5ecd37ebd8d5cd03c1bbd6a6fe7f6
-      size: 2899
+      md5: 6dde33046d38296b9adb8a8fd995b347
+      size: 8056
     - path: data/schema.edn
       hash: md5
-      md5: 50689cad3539b17cfc255d6dc2545e1c
-      size: 601
+      md5: 5520eb91d4bc6d08a6ee45d7c4a19a74
+      size: 485
     - path: qc/samples/samples.edn
       hash: md5
-      md5: 67456841283640cd962e574599a73be9
-      size: 442526
+      md5: a678c18efbaf5b964085e139750818c8
+      size: 882785
     - path: src/clojure/gensql/structure_learning/qc/dashboard.clj
       hash: md5
       md5: 11529f94587a9ade1d3fa4cb84ff0445
@@ -654,17 +664,17 @@ stages:
     outs:
     - path: qc/specs/qc-dashboard.vl.json
       hash: md5
-      md5: 47353536a0e2c56390d20c2fc3892a1d
-      size: 497826
+      md5: db641abaa1e4c2255e4f64a880ff3260
+      size: 1016130
   qc-dashboard-app:
-    cmd: "clojure -X gensql.structure-learning.qc.app/create :template qc/templates/index.html\
-      \ :spec qc/specs/qc-dashboard.vl.json :renderer canvas :title '\"QC dashboard\"\
+    cmd: "clojure -X gensql.structure-learning.qc.app/create :template qc/templates/index.html
+      :spec qc/specs/qc-dashboard.vl.json :renderer canvas :title '\"QC dashboard\"\
       ' > qc/app/qc-dashboard.html\n"
     deps:
     - path: qc/specs/qc-dashboard.vl.json
       hash: md5
-      md5: 47353536a0e2c56390d20c2fc3892a1d
-      size: 497826
+      md5: db641abaa1e4c2255e4f64a880ff3260
+      size: 1016130
     - path: qc/templates/index.html
       hash: md5
       md5: ac51efb107febc1caf14b5e2c6d0489d
@@ -676,24 +686,24 @@ stages:
     outs:
     - path: qc/app/qc-dashboard.html
       hash: md5
-      md5: e3402d22152c64e955cf3388766534f2
-      size: 499500
+      md5: 4e53b9d04ed61e5b5eb215f3ba24bf5a
+      size: 1017804
   qc-splom-spec:
-    cmd: "clojure -X gensql.structure-learning.qc.splom/spec :samples qc/samples/samples.edn\
-      \ :schema data/schema.edn :correlation data/linear-stats.json > qc/specs/qc-splom.vl.json\n"
+    cmd: "clojure -X gensql.structure-learning.qc.splom/spec :samples qc/samples/samples.edn
+      :schema data/schema.edn :correlation data/linear-stats.json > qc/specs/qc-splom.vl.json\n"
     deps:
     - path: data/linear-stats.json
       hash: md5
-      md5: d5e5ecd37ebd8d5cd03c1bbd6a6fe7f6
-      size: 2899
+      md5: 6dde33046d38296b9adb8a8fd995b347
+      size: 8056
     - path: data/schema.edn
       hash: md5
-      md5: 50689cad3539b17cfc255d6dc2545e1c
-      size: 601
+      md5: 5520eb91d4bc6d08a6ee45d7c4a19a74
+      size: 485
     - path: qc/samples/samples.edn
       hash: md5
-      md5: 67456841283640cd962e574599a73be9
-      size: 442526
+      md5: a678c18efbaf5b964085e139750818c8
+      size: 882785
     - path: src/clojure/gensql/structure_learning/qc/splom.clj
       hash: md5
       md5: a753879cef043c55d23dea202b41abe5
@@ -708,17 +718,17 @@ stages:
     outs:
     - path: qc/specs/qc-splom.vl.json
       hash: md5
-      md5: 171da5a9e3af0f572f79596fff4b5b0b
-      size: 488635
+      md5: e627be748e6230d7b0d7448d48f2b888
+      size: 951381
   qc-splom-app:
-    cmd: "clojure -X gensql.structure-learning.qc.app/create :template qc/templates/index.html\
-      \ :spec qc/specs/qc-splom.vl.json :renderer canvas :title '\"QC scatter plot\
-      \ matrix\"' > qc/app/qc-splom.html\n"
+    cmd: "clojure -X gensql.structure-learning.qc.app/create :template qc/templates/index.html
+      :spec qc/specs/qc-splom.vl.json :renderer canvas :title '\"QC scatter plot matrix\"\
+      ' > qc/app/qc-splom.html\n"
     deps:
     - path: qc/specs/qc-splom.vl.json
       hash: md5
-      md5: 171da5a9e3af0f572f79596fff4b5b0b
-      size: 488635
+      md5: e627be748e6230d7b0d7448d48f2b888
+      size: 951381
     - path: qc/templates/index.html
       hash: md5
       md5: ac51efb107febc1caf14b5e2c6d0489d
@@ -730,29 +740,29 @@ stages:
     outs:
     - path: qc/app/qc-splom.html
       hash: md5
-      md5: 02b78a8efb352785b73f50856d79f620
-      size: 490319
+      md5: 9418568e87a7259dccb9dc70d776ab0b
+      size: 953065
   predict:
-    cmd: "python scripts/predict.py --schema data/schema.edn --training data/ignored.csv\
-      \ --training data/synthetic-data-gensql.csv --test data/test/test.csv --output\
-      \ data/predictions.csv #--test data/test/test-shifted.csv\n"
+    cmd: "python scripts/predict.py --schema data/schema.edn --training data/ignored.csv
+      --training data/synthetic-data-gensql.csv --test data/test/test.csv --output
+      data/predictions.csv #--test data/test/test-shifted.csv\n"
     deps:
     - path: data/ignored.csv
       hash: md5
-      md5: 5ffeb41f4182b8f7f062b5f13230557d
-      size: 77540
+      md5: 0f31ce8a5706de864b2c503a540b4ac1
+      size: 17911
     - path: data/schema.edn
       hash: md5
-      md5: 50689cad3539b17cfc255d6dc2545e1c
-      size: 601
+      md5: 5520eb91d4bc6d08a6ee45d7c4a19a74
+      size: 485
     - path: data/synthetic-data-gensql.csv
       hash: md5
-      md5: a46403f9fa02b0dc465eac9015bd45d0
-      size: 84636
+      md5: c0b97869f77a0366fa8c94af8b9e54ed
+      size: 18352
     - path: data/test/test.csv
       hash: md5
-      md5: 6bdd1f24302e6ee6c1836bf15edfada2
-      size: 45597
+      md5: 087b8243ca14989643a6404cc42e5b55
+      size: 22788
     - path: scripts/predict.py
       hash: md5
       md5: 9791ef81e7424516b5c452380c448706
@@ -763,30 +773,32 @@ stages:
           predictor: Random_forest
           datasets:
           - synthetic-data-gensql.csv
+          - synthetic-data-gan.csv
+          - synthetic-data-copula.csv
     outs:
     - path: data/predictions.csv
       hash: md5
-      md5: a4a35684fdfdf5da4e501d7f4833026a
-      size: 24264
+      md5: 7efd7f5ac4fdb0ec956c5a38b85c5148
+      size: 134269
   assemble-database:
-    cmd: "clojure -M:exec gensql.structure-learning.main assemble-database --table-name\
-      \ data --table-path data/nullified.csv --model-name baseline_model --model-path\
-      \ data/xcat/xcat.merged.edn > data/db.edn\n"
+    cmd: "clojure -M:exec gensql.structure-learning.main assemble-database --table-name
+      data --table-path data/nullified.csv --model-name baseline_model --model-path
+      data/xcat/xcat.merged.edn > data/db.edn\n"
     deps:
     - path: data/cgpm
       hash: md5
-      md5: 166c893fcb41ec48e6955a120eadbd5e.dir
-      size: 255962
-      nfiles: 10
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0
     - path: data/nullified.csv
       hash: md5
-      md5: 54da26f21f0fee6db642e1761ebe69b9
-      size: 268196
+      md5: 90bbf6bd98dd82bff9d3da618fe51cc9
+      size: 23605
     - path: data/xcat
       hash: md5
-      md5: 8986883161dcc85bd1cd9b022fd2a29a.dir
-      size: 1566528
-      nfiles: 4
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0
     params:
       params.yaml:
         database.model_name: baseline_model
@@ -796,25 +808,25 @@ stages:
     outs:
     - path: data/db.edn
       hash: md5
-      md5: bfc7ea1d137db6900ceff8775f784707
-      size: 1422959
+      md5: 9c6b4d98137899149d79aefc2bcd7869
+      size: 657992
   qc-discretize@synthetic-data-gensql.csv:
-    cmd: "mkdir -p data/discretized/ && python scripts/discretize.py --real data/ignored.csv\
-      \ --synthetic data/synthetic-data-gensql.csv --schema data/loom-schema.json\
-      \ --real-disc data/discretized/ignored.csv --synthetic-disc data/discretized/synthetic-data-gensql.csv\n"
+    cmd: "mkdir -p data/discretized/ && python scripts/discretize.py --real data/ignored.csv
+      --synthetic data/synthetic-data-gensql.csv --schema data/loom-schema.json --real-disc
+      data/discretized/ignored.csv --synthetic-disc data/discretized/synthetic-data-gensql.csv\n"
     deps:
     - path: data/ignored.csv
       hash: md5
-      md5: 5ffeb41f4182b8f7f062b5f13230557d
-      size: 77540
+      md5: 0f31ce8a5706de864b2c503a540b4ac1
+      size: 17911
     - path: data/loom-schema.json
       hash: md5
-      md5: 68f027a12982e5d4f01f40fe0450b281
-      size: 127
+      md5: c7f8e3dcb424006ec9aaf56ddf23de3b
+      size: 416
     - path: data/synthetic-data-gensql.csv
       hash: md5
-      md5: a46403f9fa02b0dc465eac9015bd45d0
-      size: 84636
+      md5: c0b97869f77a0366fa8c94af8b9e54ed
+      size: 18352
     - path: scripts/discretize.py
       hash: md5
       md5: 413bc37503837d33c7f2ae72359e994a
@@ -822,33 +834,33 @@ stages:
     outs:
     - path: data/discretized/synthetic-data-gensql.csv
       hash: md5
-      md5: a46403f9fa02b0dc465eac9015bd45d0
-      size: 84636
+      md5: c0b97869f77a0366fa8c94af8b9e54ed
+      size: 18352
   qc-fidelity-table@synthetic-data-gensql.csv:
-    cmd: "mkdir -p data/fidelity/ && (LD_DEBUG=libs assess-distance --data-1 data/discretized/ignored.csv\
-      \ --data-2 data/discretized/synthetic-data-gensql.csv --bivariate > data/fidelity/synthetic-data-gensql.csv)\n"
+    cmd: "mkdir -p data/fidelity/ && assess-distance --data-1 data/discretized/ignored.csv
+      --data-2 data/discretized/synthetic-data-gensql.csv --bivariate > data/fidelity/synthetic-data-gensql.csv\n"
     deps:
     - path: data/discretized/ignored.csv
       hash: md5
-      md5: 5ffeb41f4182b8f7f062b5f13230557d
-      size: 77540
+      md5: 0f31ce8a5706de864b2c503a540b4ac1
+      size: 17911
     - path: data/discretized/synthetic-data-gensql.csv
       hash: md5
-      md5: a46403f9fa02b0dc465eac9015bd45d0
-      size: 84636
+      md5: c0b97869f77a0366fa8c94af8b9e54ed
+      size: 18352
     outs:
     - path: data/fidelity/synthetic-data-gensql.csv
       hash: md5
-      md5: 4b0979a29feceb30a26e267de1df19f6
-      size: 735
+      md5: bb55d35b13ec664ced7000e7dedb5a26
+      size: 3473
   qc-fidelity-json:
     cmd: "python scripts/fidelity2json.py --params params.yaml >> data/fidelity.json\n"
     deps:
     - path: data/fidelity/
       hash: md5
-      md5: ee1f5499c3c52f3af72097a8dd5f0051.dir
-      size: 762
-      nfiles: 2
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0
     - path: scripts/fidelity2json.py
       hash: md5
       md5: ebe89a5b3530a60999cc3a7c0cfc1493
@@ -857,19 +869,22 @@ stages:
       params.yaml:
         synthetic_data_evaluation.datasets:
         - synthetic-data-gensql.csv
+        - synthetic-data-gan.csv
+        - synthetic-data-copula.csv
     outs:
     - path: data/fidelity.json
       hash: md5
-      md5: a53aad464233582b9b8841c3a270df01
-      size: 1494
+      md5: 5d96ff3aff4224888111305f92adfd9e
+      size: 15954
   qc-fidelity-app:
-    cmd: "sed \"s|{{DATA}}|$(cat data/fidelity.json)|\" qc/templates/fidelity.html\
-      \ > qc/app/fidelity.html\n"
+    cmd: "awk 'BEGIN {data = ARGV[1]; ARGV[1] = \"\"; while ((getline line < data)
+      > 0) data_str = data_str line \"\\n\"} {gsub(\"{{DATA}}\", data_str)} 1' data/fidelity.json
+      qc/templates/fidelity.html > qc/app/fidelity.html\n"
     deps:
     - path: data/fidelity.json
       hash: md5
-      md5: a53aad464233582b9b8841c3a270df01
-      size: 1494
+      md5: 5d96ff3aff4224888111305f92adfd9e
+      size: 15954
     - path: qc/templates/fidelity.html
       hash: md5
       md5: 26cb40e5e0c02c8ca73e3dcdaa21f814
@@ -877,5 +892,91 @@ stages:
     outs:
     - path: qc/app/fidelity.html
       hash: md5
-      md5: 5d563d763db76aaf9686fb4a4cd582ca
-      size: 3522
+      md5: 2dd6cb406973271fa9758e3efa3a4d76
+      size: 17983
+  qc-discretize@synthetic-data-gan.csv:
+    cmd: "mkdir -p data/discretized/ && python scripts/discretize.py --real data/ignored.csv
+      --synthetic data/synthetic-data-gan.csv --schema data/loom-schema.json --real-disc
+      data/discretized/ignored.csv --synthetic-disc data/discretized/synthetic-data-gan.csv\n"
+    deps:
+    - path: data/ignored.csv
+      hash: md5
+      md5: 0f31ce8a5706de864b2c503a540b4ac1
+      size: 17911
+    - path: data/loom-schema.json
+      hash: md5
+      md5: c7f8e3dcb424006ec9aaf56ddf23de3b
+      size: 416
+    - path: data/synthetic-data-gan.csv
+      hash: md5
+      md5: cc67facc6f9864cce1a04263b1bba3dc
+      size: 17991
+    - path: scripts/discretize.py
+      hash: md5
+      md5: 413bc37503837d33c7f2ae72359e994a
+      size: 2033
+    outs:
+    - path: data/discretized/synthetic-data-gan.csv
+      hash: md5
+      md5: cc67facc6f9864cce1a04263b1bba3dc
+      size: 17991
+  qc-discretize@synthetic-data-copula.csv:
+    cmd: "mkdir -p data/discretized/ && python scripts/discretize.py --real data/ignored.csv
+      --synthetic data/synthetic-data-copula.csv --schema data/loom-schema.json --real-disc
+      data/discretized/ignored.csv --synthetic-disc data/discretized/synthetic-data-copula.csv\n"
+    deps:
+    - path: data/ignored.csv
+      hash: md5
+      md5: 0f31ce8a5706de864b2c503a540b4ac1
+      size: 17911
+    - path: data/loom-schema.json
+      hash: md5
+      md5: c7f8e3dcb424006ec9aaf56ddf23de3b
+      size: 416
+    - path: data/synthetic-data-copula.csv
+      hash: md5
+      md5: cd90392877bb60445bc9d14d0729fb61
+      size: 17943
+    - path: scripts/discretize.py
+      hash: md5
+      md5: 413bc37503837d33c7f2ae72359e994a
+      size: 2033
+    outs:
+    - path: data/discretized/synthetic-data-copula.csv
+      hash: md5
+      md5: cd90392877bb60445bc9d14d0729fb61
+      size: 17943
+  qc-fidelity-table@synthetic-data-gan.csv:
+    cmd: "mkdir -p data/fidelity/ && assess-distance --data-1 data/discretized/ignored.csv
+      --data-2 data/discretized/synthetic-data-gan.csv --bivariate > data/fidelity/synthetic-data-gan.csv\n"
+    deps:
+    - path: data/discretized/ignored.csv
+      hash: md5
+      md5: 0f31ce8a5706de864b2c503a540b4ac1
+      size: 17911
+    - path: data/discretized/synthetic-data-gan.csv
+      hash: md5
+      md5: cc67facc6f9864cce1a04263b1bba3dc
+      size: 17991
+    outs:
+    - path: data/fidelity/synthetic-data-gan.csv
+      hash: md5
+      md5: df717f41312beb4fc878a9e76fa94b7f
+      size: 3449
+  qc-fidelity-table@synthetic-data-copula.csv:
+    cmd: "mkdir -p data/fidelity/ && assess-distance --data-1 data/discretized/ignored.csv
+      --data-2 data/discretized/synthetic-data-copula.csv --bivariate > data/fidelity/synthetic-data-copula.csv\n"
+    deps:
+    - path: data/discretized/ignored.csv
+      hash: md5
+      md5: 0f31ce8a5706de864b2c503a540b4ac1
+      size: 17911
+    - path: data/discretized/synthetic-data-copula.csv
+      hash: md5
+      md5: cd90392877bb60445bc9d14d0729fb61
+      size: 17943
+    outs:
+    - path: data/fidelity/synthetic-data-copula.csv
+      hash: md5
+      md5: 798c73d18e886867ae8a06021cca7c77
+      size: 3492
diff --git a/params.yaml b/params.yaml
index 23631a0..94076fd 100644
--- a/params.yaml
+++ b/params.yaml
@@ -1,5 +1,5 @@
 seed: 0
-sample_count: 3
+sample_count: 1
 sub_sample:
   #according_to_columns:
   #  Class_of_Orbit:
@@ -15,21 +15,40 @@ parallel:
 nullify:
   # Entries added here will be treated as null. For example, to treat "NaN" and
   # "missing" as null uncomment the following two lines:
-  # - NaN
-  # - missing
+  - NaN
+  - missing
 schema:
   # Key/value pairs can be added here to explicitly override the inferred schema
   # for each column. The available types are as follows: numerical, nominal, and ignore.
   # For example, to force the "age" column to be treated as a
   # numerical uncomment the following line:
-  # age: numerical
-  # Apogee_km: numerical
-  # Perigee_km: numerical
+
+  # For nominal variables:
+  # (a) less than or equal to 10%
+  # (b) (10%, 20%]
+  # (c) (20%,30%]
+  # (d) (30%, 40%]
+  # (e) (40%, 50%]
+  # (f) (50%, 60%]
+  # (g) (60%, 70%]
+  # (h) (70%, 80%]
+  # (i) (80%, 90%]
+  # (j) (90%, 100%]
+  Municipality: ignore
+  Total_population__Both_sexes_: nominal
+  Taxable_income__million_yen_: nominal
+  Ordinal_Number_of_employed_persons: nominal
+  Number_of_households__Total_: nominal
+  Ordinal_Number_of_physicians: nominal
+  Number_of_dwellings_with_occupying_households: nominal
+  Ordinal_Total_population__65_and_over_: nominal
+  Number_of_elderly_nursing_facilities__Questionnaire_about_basic_matters_: nominal
+  Number_of_lower_secondary_school_students: nominal
 loom:
-  extra_passes: 1
+  extra_passes: 100
 cgpm:
   iterations: 1
-  minutes: 1
+  minutes: 450
   #dependence:
   #  # While the CrossCat implementation in CGPM takes dependence constraints, doing so
   #  # throws a not-implemented-error. Hence, we apply a workaround:
@@ -71,8 +90,8 @@ synthetic_data_evaluation:
     #N: 10000 # Subsample held-out dataframe with 1000 samples
   datasets: # Add a list of csv synthetic data files
     - synthetic-data-gensql.csv # this one is generated by default.
-    #- synthetic-data-gan.csv
-    #- synthetic-data-copula.csv
+    - synthetic-data-gan.csv
+    - synthetic-data-copula.csv
 database:
   table_name: data
   table_path: data/nullified.csv
diff --git a/sdv_generate.py b/sdv_generate.py
new file mode 100644
index 0000000..395269c
--- /dev/null
+++ b/sdv_generate.py
@@ -0,0 +1,20 @@
+import pandas as pd
+
+from sdv.metadata import SingleTableMetadata
+from sdv.single_table import GaussianCopulaSynthesizer
+from sdv.single_table import CTGANSynthesizer
+
+df = pd.read_csv("data/ignored.csv")
+
+metadata = SingleTableMetadata()
+metadata.detect_from_dataframe(data=df)
+
+gan = CTGANSynthesizer(metadata)
+gan.fit(df)
+gan_df = gan.sample(len(df))
+gan_df.to_csv("data/synthetic-data-gan.csv", index=False)
+
+copula = GaussianCopulaSynthesizer(metadata)
+copula.fit(df)
+cop_df = copula.sample(len(df))
+cop_df.to_csv("data/synthetic-data-copula.csv", index=False)