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Merge pull request #159 from venkat2469/r0.41.0
Update 0.41.0 in version.py and RELEASE.md
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‎README.md

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|tensorflow-model-analysis |apache-beam[gcp]|pyarrow |tensorflow |tensorflow-metadata |tfx-bsl |
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|------------------------------------------------------------------------------------ |----------------|----------|-------------------|--------------------|----------|
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|[GitHub master](https://github.com/tensorflow/model-analysis/blob/master/RELEASE.md) | 2.38.0 | 5.0.0 | nightly (1.x/2.x) | 1.9.0 | 1.9.0 |
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|[GitHub master](https://github.com/tensorflow/model-analysis/blob/master/RELEASE.md) | 2.40.0 | 6.0.0 | nightly (1.x/2.x) | 1.10.0 | 1.10.1 |
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|[0.41.0](https://github.com/tensorflow/model-analysis/blob/v0.41.0/RELEASE.md) | 2.40.0 | 6.0.0 | 1.15.5 / 2.9 | 1.10.0 | 1.10.1 |
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|[0.40.0](https://github.com/tensorflow/model-analysis/blob/v0.40.0/RELEASE.md) | 2.38.0 | 5.0.0 | 1.15.5 / 2.9 | 1.9.0 | 1.9.0 |
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|[0.39.0](https://github.com/tensorflow/model-analysis/blob/v0.39.0/RELEASE.md) | 2.38.0 | 5.0.0 | 1.15.5 / 2.8 | 1.8.0 | 1.8.0 |
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|[0.38.0](https://github.com/tensorflow/model-analysis/blob/v0.38.0/RELEASE.md) | 2.36.0 | 5.0.0 | 1.15.5 / 2.8 | 1.7.0 | 1.7.0 |

‎RELEASE.md

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## Major Features and Improvements
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## Bug fixes and other Changes
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## Breaking Changes
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## Deprecations
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# Version 0.41.0
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## Major Features and Improvements
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* Add COCO object detection metrics, object detection related utilities,
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objection detection opitons in binary confusion matrix, PrecisionAtRecall,
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Recall, and AUC. Add MaxRecall metric.
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objection detection opitons in binary confusion matrix, Precision At Recall,
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and AUC. Add MaxRecall metric.
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* Add support for parsing sparse tensors with explicit tensor representations
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via TFXIO.
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## Bug fixes and other Changes
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* Add score_distribution_plot.
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* Separate the PredictionsExtractor into two extractors.
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* Separate the Predictions Extractor into two extractors.
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* Update PredictionsExtractor to support backwards compatibility with the
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MaterializedPredictionsExtractor.
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Materialized Predictions Extractor.
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* Depends on `apache-beam[gcp]>=2.40,<3`.
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* Depends on `pyarrow>=6,<7`.
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* Update merge_extracts with an option to skip squeezing one-dim arrays.
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## Deprecations
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* N/A
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# Version 0.40.0
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## Major Features and Improvements

‎g3doc/install.md

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tensorflow-model-analysis | apache-beam[gcp] | pyarrow | tensorflow | tensorflow-metadata | tfx-bsl
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------------------------------------------------------------------------------------ | ---------------- | ------- | ----------------- | ------------------- | -------
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[GitHub master](https://github.com/tensorflow/model-analysis/blob/master/RELEASE.md) | 2.38.0 | 5.0.0 | nightly (1.x/2.x) | 1.9.0 | 1.9.0
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[GitHub master](https://github.com/tensorflow/model-analysis/blob/master/RELEASE.md) | 2.40.0 | 6.0.0 | nightly (1.x/2.x) | 1.10.0 | 1.10.1
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[0.41.0](https://github.com/tensorflow/model-analysis/blob/v0.41.0/RELEASE.md) | 2.40.0 | 6.0.0 | 1.15 / 2.9 | 1.10.0 | 1.10.1
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[0.40.0](https://github.com/tensorflow/model-analysis/blob/v0.40.0/RELEASE.md) | 2.38.0 | 5.0.0 | 1.15 / 2.9 | 1.9.0 | 1.9.0
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[0.39.0](https://github.com/tensorflow/model-analysis/blob/v0.39.0/RELEASE.md) | 2.38.0 | 5.0.0 | 1.15 / 2.8 | 1.8.0 | 1.8.0
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[0.38.0](https://github.com/tensorflow/model-analysis/blob/v0.38.0/RELEASE.md) | 2.36.0 | 5.0.0 | 1.15 / 2.8 | 1.7.0 | 1.7.0

‎setup.py

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'attrs>=19.3.0,<22',
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'tensorflow>=1.15.5,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,<3',
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'tensorflow-metadata' + select_constraint(
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default='>=1.9.0,<1.10.0',
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nightly='>=1.10.0.dev',
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default='>=1.10.0,<1.11.0',
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nightly='>=1.11.0.dev',
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git_master='@git+https://github.com/tensorflow/metadata@master'),
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'tfx-bsl' + select_constraint(
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default='>=1.9.0,<1.10.0',
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nightly='>=1.10.0.dev',
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default='>=1.10.1,<1.11.0',
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nightly='>=1.11.0.dev',
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git_master='@git+https://github.com/tensorflow/tfx-bsl@master'),
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],
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'extras_require': {

‎tensorflow_model_analysis/extractors/tflite_predict_extractor_test.py

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# limitations under the License.
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"""Tests for tflite predict extractor."""
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import itertools
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import os
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import tempfile
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from google.protobuf import text_format
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from tensorflow_metadata.proto.v0 import schema_pb2
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_TF_MAJOR_VERSION = int(tf.version.VERSION.split('.')[0])
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_MULTI_MODEL_CASES = [False, True]
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_MULTI_OUTPUT_CASES = [False, True]
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# Equality op not supported in TF1. See b/242088810
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_BYTES_FEATURE_CASES = [False] if _TF_MAJOR_VERSION < 2 else [False, True]
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class TFLitePredictExtractorTest(testutil.TensorflowModelAnalysisTest,
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parameterized.TestCase):
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@parameterized.named_parameters(('single_model_single_output', False, False),
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('single_model_multi_output', False, True),
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('multi_model_single_output', True, False),
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('multi_model_multi_output', True, True))
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def testTFlitePredictExtractorWithKerasModel(self, multi_model, multi_output):
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@parameterized.parameters(
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itertools.product(_MULTI_MODEL_CASES, _MULTI_OUTPUT_CASES,
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_BYTES_FEATURE_CASES))
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def testTFlitePredictExtractorWithKerasModel(self, multi_model, multi_output,
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use_bytes_feature):
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input1 = tf.keras.layers.Input(shape=(1,), name='input1')
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input2 = tf.keras.layers.Input(shape=(1,), name='input2')
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input3 = tf.keras.layers.Input(shape=(1,), name='input3', dtype=tf.string)
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inputs = [input1, input2, input3]
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input_layer = tf.keras.layers.concatenate(
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[inputs[0], inputs[1],
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tf.cast(inputs[2] == 'a', tf.float32)])
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if use_bytes_feature:
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input_layer = tf.keras.layers.concatenate(
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[inputs[0], inputs[1],
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tf.cast(inputs[2] == 'a', tf.float32)])
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else:
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input_layer = tf.keras.layers.concatenate([inputs[0], inputs[1]])
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output_layers = {}
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output_layers['output1'] = (
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tf.keras.layers.Dense(1, activation=tf.nn.sigmoid,

‎tensorflow_model_analysis/notebook/jupyter/js/package.json

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{
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"name": "tensorflow_model_analysis",
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"version": "0.41.0.dev",
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"version": "0.41.0",
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"homepage": "https://github.com/tensorflow/model-analysis",
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"bugs": "https://github.com/tensorflow/model-analysis/issues",
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"license": "Apache-2.0",

‎tensorflow_model_analysis/version.py

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# Version string for this release of TFMA.
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# Note that setup.py reads and uses this version.
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VERSION = '0.41.0.dev'
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VERSION = '0.41.0'

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