US Salary Prediction Repository Demonstrate end-to-end workflow implementation using TFX
Following Components were used
- ExampleGen - ingests and splits the input dataset.
- StatisticsGen - calculates statistics for the dataset.
- SchemaGen - examines the statistics and creates a data schema.
- ExampleValidator - looks for anomalies and missing values in the dataset.
- Transform performs - feature engineering on the dataset.
- Trainer - trains the model using TensorFlow Estimators or Keras.
- Evaluator - performs deep analysis of the training results.
- Pusher - deploys the model to a serving infrastructure.
Tensorflow serving is used for the deployement