AlchemyML API package
Project description
AlchemyML API Documentation
Version Date: 2020-03-17
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
- How to install Pandas via conda:
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
- autentication()
- 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
- actions()
CRUD_classes.py - Code explanations
Intro
Prerequisites - Imports
- Python packages:
- JSON:
import json
- OS:
import os
- Sys:
import sys
- JSON:
- 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
Project details
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