Utilities for passing TensorFlow-related metadata between tools
conda install rocketce::tensorflow-metadataconda install rocketce/label/rocketce-1.11.2::tensorflow-metadataconda install rocketce/label/rocketce-1.3.1::tensorflow-metadataconda install rocketce/label/rocketce-1.4.1::tensorflow-metadataconda install rocketce/label/rocketce-1.5.0::tensorflow-metadataconda install rocketce/label/rocketce-1.5.1::tensorflow-metadataconda install rocketce/label/rocketce-1.6.0::tensorflow-metadataconda install rocketce/label/rocketce-1.7.0::tensorflow-metadataconda install rocketce/label/rocketce-1.7.8::tensorflow-metadataconda install rocketce/label/rocketce-1.8.0::tensorflow-metadataconda install rocketce/label/rocketce-1.8.1::tensorflow-metadataconda install rocketce/label/rocketce-1.9.1::tensorflow-metadata
TensorFlow Metadata provides standard representations for metadata that are useful when training machine learning models with TensorFlow. The metadata serialization formats include- - A schema describing tabular data (e.g., tf.Examples). - A collection of summary statistics over such datasets. - A problem statement quantifying the objectives of a model. The metadata may be produced by hand or automatically during input data analysis, and may be consumed for data validation, exploration, and transformation.