Wheels, Utilities, Tools of data science

Now it contains following modules:

Design for feature engineerings and preprocessing of data science, including

• binary_search
• bucketized_column
• discrete_for_lookupTable
• cross_column
• sparse_column

Methods of analysing and visualizing log file, including

• analyse_bigdl : to analyse bigdl log file to get some visualization of training process.
• analyse_pytorch : to analyse pytorch log file to get some visualization of training process.

Data Transforms and preprocessing of images, text, or records etc, including

• Normalize : Normalize(tensor, mean, std)
• generate_data : generate a batch of data