alchemyml 0.1.13

AlchemyML API package

AlchemyML API Documentation

Version Date: 2020-03-17

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Table of Contents

[TOC]

Prerequisites

Sys, json, OS, requests.adapters.HTTPAdapter, urllib3.util.retry.Retry, pickle

Dependencies

• Pandas: https://pandas.pydata.org/pandas-docs/stable/install.html
  • How to install Pandas via conda: conda install pandas

Module Overview

Description

AlchemyML API

Flowchart

List of scripts and their functions

• CRUD_classes
  • autentication()
    • get_api_token
  • dataset()
    • upload
    • view
    • update
    • delete
    • statistical_descriptors
  • experiment()
    • create
    • view
    • update
    • delete
    • statistical_descriptors
    • results
    • add_to_project
    • extract_from_project
    • send
  • project()
    • create
    • view
    • update
    • delete
• manual_ops
  • actions()
    • list_preprocessed_dataframes
    • download_dataframe
    • prepare_dataframe
    • encode_dataframe
    • drop_highly_correlated_components
    • impute_inconsistencies
    • drop_invalid_columns
    • target_column_analysis
    • balancing_dataframe
    • initial_exp_info
    • impute_missing_values
    • merge_cols_into_dt_index
    • detect_experiment_type
    • build_model
    • operational_info
    • detect_outliers
    • impute_outliers
    • download_properties_df

CRUD_classes.py - Code explanations

Intro

Prerequisites - Imports

• Python packages:
  • JSON: import json
  • OS: import os
  • Sys: import sys
• Functions from request_handler:
  • from request_handler import retry_session, general_call

class autentication

method get_api_token

Code

Description

Description

I/O

• Parameters:

  • username (str): Username
  • password (str): Password

• Returns:

  • Status code (int)
  • Message (str) with the result