/
standard_visualizations.py
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/
standard_visualizations.py
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# Lint as: python2, python3
# Copyright 2019 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""TFX notebook visualizations for standard TFX artifacts."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
# Standard Imports
import tensorflow_data_validation as tfdv
import tensorflow_model_analysis as tfma
from tfx import types
from tfx.orchestration.experimental.interactive import visualizations
from tfx.types import artifact_utils
from tfx.types import standard_artifacts
class ExampleAnomaliesVisualization(visualizations.ArtifactVisualization):
"""Visualization for standard_artifacts.ExampleAnomalies."""
ARTIFACT_TYPE = standard_artifacts.ExampleAnomalies
def display(self, artifact: types.Artifact):
from IPython.core.display import display # pylint: disable=g-import-not-at-top
from IPython.core.display import HTML # pylint: disable=g-import-not-at-top
for split in artifact_utils.decode_split_names(artifact.split_names):
display(HTML('<div><b>%r split:</b></div><br/>' % split))
anomalies_path = os.path.join(artifact.uri, split, 'anomalies.pbtxt')
anomalies = tfdv.load_anomalies_text(anomalies_path)
tfdv.display_anomalies(anomalies)
class ExampleStatisticsVisualization(visualizations.ArtifactVisualization):
"""Visualization for standard_artifacts.Statistics."""
ARTIFACT_TYPE = standard_artifacts.ExampleStatistics
def display(self, artifact: types.Artifact):
from IPython.core.display import display # pylint: disable=g-import-not-at-top
from IPython.core.display import HTML # pylint: disable=g-import-not-at-top
for split in artifact_utils.decode_split_names(artifact.split_names):
display(HTML('<div><b>%r split:</b></div><br/>' % split))
stats_path = os.path.join(artifact.uri, split, 'stats_tfrecord')
stats = tfdv.load_statistics(stats_path)
tfdv.visualize_statistics(stats)
class ModelEvaluationVisualization(visualizations.ArtifactVisualization):
"""Visualization for standard_artifacts.ModelEvaluation."""
ARTIFACT_TYPE = standard_artifacts.ModelEvaluation
def display(self, artifact: types.Artifact):
tfma_result = tfma.load_eval_result(artifact.uri)
# TODO(ccy): add comment instructing user to use the TFMA library directly
# in order to render non-default slicing metric views.
tfma.view.render_slicing_metrics(tfma_result)
class SchemaVisualization(visualizations.ArtifactVisualization):
"""Visualization for standard_artifacts.Schema."""
ARTIFACT_TYPE = standard_artifacts.Schema
def display(self, artifact: types.Artifact):
schema_path = os.path.join(artifact.uri, 'schema.pbtxt')
schema = tfdv.load_schema_text(schema_path)
tfdv.display_schema(schema)
STANDARD_VISUALIZATIONS = frozenset([
ExampleAnomaliesVisualization,
ExampleStatisticsVisualization,
ModelEvaluationVisualization,
SchemaVisualization,
])
def register_standard_visualizations():
for visualization in STANDARD_VISUALIZATIONS:
visualizations.get_registry().register(visualization)