Project import generated by Copybara.

PiperOrigin-RevId: 219664000

Author: tf-transform-team

docs/api_docs/python/tft/coders/CsvCoder.md

@@ -35,8 +35,9 @@ Initializes CsvCoder.
 * <b>`delimiter`</b>: A one-character string used to separate fields.
 * <b>`secondary_delimiter`</b>: A one-character string used to separate values within
     the same field.
-* <b>`multivalent_columns`</b>: A list of names for multivalent columns that need
-      to be split based on secondary delimiter.
+* <b>`multivalent_columns`</b>: A list of names for multivalent columns that need to
+    be split based on secondary delimiter.
+
 
 #### Raises:
 
@@ -56,14 +57,15 @@ Decodes the given string record according to the schema.
 
 Missing value handling is as follows:
 
-1.a) If FixedLenFeature and has a default value, use that value for missing
-     entries.
-1.b) If FixedLenFeature and doesn't has default value throw an Exception on
-     missing entries.
+1. For FixedLenFeature:
+    1. If FixedLenFeature and has a default value, use that value for
+    missing entries.
+    2. If FixedLenFeature and doesn't have default value throw an Exception
+    on missing entries.
 
-2) For VarLenFeature return an empty array.
+2. For VarLenFeature return an empty array.
 
-3) For SparseFeature throw an Exception if only one of the indices or values
+3. For SparseFeature throw an Exception if only one of the indices or values
    has a missing entry. If both indices and values are missing, return
    a tuple of 2 empty arrays.
 
@@ -98,8 +100,8 @@ Encode a tf.transform encoded dict to a csv-formatted string.
 
 #### Args:
 
-* <b>`instance`</b>: A python dictionary where the keys are the column names and
-    the values are fixed len or var len encoded features.
+* <b>`instance`</b>: A python dictionary where the keys are the column names and the
+    values are fixed len or var len encoded features.
 
 
 #### Returns:

docs/api_docs/python/tft/compute_and_apply_vocabulary.md

@@ -69,4 +69,4 @@ zero. String value not in the vocabulary is assigned default_value.
 
 #### Raises:
 
-* <b>`ValueError`</b>: If `top_k` or `frequency_threshold` is negative.
+* <b>`ValueError`</b>: If `top_k` or `frequency_threshold` is negative.

docs/api_docs/python/tft/vocabulary.md

@@ -72,4 +72,4 @@ The path name for the vocabulary file containing the unique values of `x`.
 
 #### Raises:
 
-* <b>`ValueError`</b>: If `top_k` or `frequency_threshold` is negative.
+* <b>`ValueError`</b>: If `top_k` or `frequency_threshold` is negative.

docs/api_docs/python/tft_beam/AnalyzeAndTransformDataset.md

@@ -20,6 +20,7 @@
 <meta itemprop="property" content="infer_output_type"/>
 <meta itemprop="property" content="next"/>
 <meta itemprop="property" content="register_urn"/>
+<meta itemprop="property" content="runner_api_requires_keyed_input"/>
 <meta itemprop="property" content="to_runner_api"/>
 <meta itemprop="property" content="to_runner_api_parameter"/>
 <meta itemprop="property" content="to_runner_api_pickled"/>
@@ -255,6 +256,14 @@ register_urn(
 
 
 
+<h3 id="runner_api_requires_keyed_input"><code>runner_api_requires_keyed_input</code></h3>
+
+``` python
+runner_api_requires_keyed_input()
+```
+
+
+
 <h3 id="to_runner_api"><code>to_runner_api</code></h3>
 
 ``` python

docs/api_docs/python/tft_beam/AnalyzeDataset.md

@@ -20,6 +20,7 @@
 <meta itemprop="property" content="infer_output_type"/>
 <meta itemprop="property" content="next"/>
 <meta itemprop="property" content="register_urn"/>
+<meta itemprop="property" content="runner_api_requires_keyed_input"/>
 <meta itemprop="property" content="to_runner_api"/>
 <meta itemprop="property" content="to_runner_api_parameter"/>
 <meta itemprop="property" content="to_runner_api_pickled"/>
@@ -255,6 +256,14 @@ register_urn(
 
 
 
+<h3 id="runner_api_requires_keyed_input"><code>runner_api_requires_keyed_input</code></h3>
+
+``` python
+runner_api_requires_keyed_input()
+```
+
+
+
 <h3 id="to_runner_api"><code>to_runner_api</code></h3>
 
 ``` python

docs/api_docs/python/tft_beam/ReadTransformFn.md

@@ -20,6 +20,7 @@
 <meta itemprop="property" content="infer_output_type"/>
 <meta itemprop="property" content="next"/>
 <meta itemprop="property" content="register_urn"/>
+<meta itemprop="property" content="runner_api_requires_keyed_input"/>
 <meta itemprop="property" content="to_runner_api"/>
 <meta itemprop="property" content="to_runner_api_parameter"/>
 <meta itemprop="property" content="to_runner_api_pickled"/>
@@ -230,6 +231,14 @@ register_urn(
 
 
 
+<h3 id="runner_api_requires_keyed_input"><code>runner_api_requires_keyed_input</code></h3>
+
+``` python
+runner_api_requires_keyed_input()
+```
+
+
+
 <h3 id="to_runner_api"><code>to_runner_api</code></h3>
 
 ``` python

docs/api_docs/python/tft_beam/TransformDataset.md

@@ -20,6 +20,7 @@
 <meta itemprop="property" content="infer_output_type"/>
 <meta itemprop="property" content="next"/>
 <meta itemprop="property" content="register_urn"/>
+<meta itemprop="property" content="runner_api_requires_keyed_input"/>
 <meta itemprop="property" content="to_runner_api"/>
 <meta itemprop="property" content="to_runner_api_parameter"/>
 <meta itemprop="property" content="to_runner_api_pickled"/>
@@ -247,6 +248,14 @@ register_urn(
 
 
 
+<h3 id="runner_api_requires_keyed_input"><code>runner_api_requires_keyed_input</code></h3>
+
+``` python
+runner_api_requires_keyed_input()
+```
+
+
+
 <h3 id="to_runner_api"><code>to_runner_api</code></h3>
 
 ``` python

docs/api_docs/python/tft_beam/WriteMetadata.md

@@ -20,6 +20,7 @@
 <meta itemprop="property" content="infer_output_type"/>
 <meta itemprop="property" content="next"/>
 <meta itemprop="property" content="register_urn"/>
+<meta itemprop="property" content="runner_api_requires_keyed_input"/>
 <meta itemprop="property" content="to_runner_api"/>
 <meta itemprop="property" content="to_runner_api_parameter"/>
 <meta itemprop="property" content="to_runner_api_pickled"/>
@@ -235,6 +236,14 @@ register_urn(
 
 
 
+<h3 id="runner_api_requires_keyed_input"><code>runner_api_requires_keyed_input</code></h3>
+
+``` python
+runner_api_requires_keyed_input()
+```
+
+
+
 <h3 id="to_runner_api"><code>to_runner_api</code></h3>
 
 ``` python

docs/api_docs/python/tft_beam/WriteTransformFn.md

@@ -20,6 +20,7 @@
 <meta itemprop="property" content="infer_output_type"/>
 <meta itemprop="property" content="next"/>
 <meta itemprop="property" content="register_urn"/>
+<meta itemprop="property" content="runner_api_requires_keyed_input"/>
 <meta itemprop="property" content="to_runner_api"/>
 <meta itemprop="property" content="to_runner_api_parameter"/>
 <meta itemprop="property" content="to_runner_api_pickled"/>
@@ -235,6 +236,14 @@ register_urn(
 
 
 
+<h3 id="runner_api_requires_keyed_input"><code>runner_api_requires_keyed_input</code></h3>
+
+``` python
+runner_api_requires_keyed_input()
+```
+
+
+
 <h3 id="to_runner_api"><code>to_runner_api</code></h3>
 
 ``` python

tensorflow_transform/coders/csv_coder.py

@@ -504,14 +504,15 @@ def decode(self, csv_string):
 
     Missing value handling is as follows:
 
-    1.a) If FixedLenFeature and has a default value, use that value for missing
-         entries.
-    1.b) If FixedLenFeature and doesn't have default value throw an Exception on
-         missing entries.
+    1. For FixedLenFeature:
+        1. If FixedLenFeature and has a default value, use that value for
+        missing entries.
+        2. If FixedLenFeature and doesn't have default value throw an Exception
+        on missing entries.
 
-    2) For VarLenFeature return an empty array.
+    2. For VarLenFeature return an empty array.
 
-    3) For SparseFeature throw an Exception if only one of the indices or values
+    3. For SparseFeature throw an Exception if only one of the indices or values
        has a missing entry. If both indices and values are missing, return
        a tuple of 2 empty arrays.