lib¶

Library / helper functions for Keras-Pandas

Functions

`check_valid_datatype`(datatype_class)	Check whether the provided datatype_class meets the requirements for use as a keras-pandas datatype handler, using duck-typing
`check_variable_list_are_valid`(variable_type_dict)	Checks that the provided variable_type_dict is valid, by:
`download_file`(url, local_file_path, filename)	Download the file at url in chunks, to the location at local_file_path
`get_temp_dir`()
`get_variable_type`(variable_name, …)
`load_instanbul_stocks`([as_ts])
`load_iris`()
`load_lending_club`([test_run])
`load_mushroom`()
`load_titanic`()	Load the titanic data set, as a pandas DataFrame
`namespace_conversion`(input_string)	Convert input_string to be sfve in the tensorflow namespace

lib.check_valid_datatype(datatype_class)¶

Check whether the provided datatype_class meets the requirements for use as a keras-pandas datatype handler, using duck-typing

Parameters:	datatype_class – A class, with the expected signature
Returns:	Whether or not the datatype_class has the requirements
Return type:	bool

lib.check_variable_list_are_valid(variable_type_dict)¶

Checks that the provided variable_type_dict is valid, by:

Confirming there is no overlap between all variable lists

Parameters:	variable_type_dict ({str:[str]}) – A dictionary, with keys describing variables types, and values listing particular variables
Returns:	True, if there is no overlap
Return type:	bool

lib.download_file(url, local_file_path, filename)¶

Download the file at url in chunks, to the location at local_file_path

Parameters:	url (str) – URL to a file to be downloaded local_file_path (str) – Path to download the file to filename (str) – Filename to save the data to
Returns:	The path to the file on the local machine (same as input local_file_path)
Return type:	str

lib.get_variable_type(variable_name, variable_type_dict, response_var)¶

lib.load_titanic()¶

Load the titanic data set, as a pandas DataFrame

Returns:	A DataFrame, containing the titanic dataset
Return type:	pandas.DataFrame

lib.namespace_conversion(input_string)¶

Convert input_string to be sfve in the tensorflow namespace

Parameters:	input_string (str) – A string, to be converted
Returns:	Cleanly formatted version of input_string
Return type:	str