VevestaX is an open source Python package for ML Engineers and Data Scientists.

Last update: Dec 14, 2022

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Overview

VevestaX

Track failed and successful experiments as well as features.

VevestaX is an open source Python package for ML Engineers and Data Scientists. It includes modules for tracking features sourced from data, feature engineering and variables. The output is an excel file which has tabs namely, data sourcing, feature engineering and modelling. It tracks these values in Jupyter notebook.

How to install the library:

$ pip install vevestaX

How to import a library and create the object

How to extract features present in input data.

How to extract engineered features

How to track variables used in modelling section of the code

How to dump the features and modelling variables in an xlsx file

For additional features, explore our tool at www.vevesta.com

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Comments

Create a tab in the excel created using V.dump. The tab will contain a random set of rows from the input data (panda data frame)

Create a tab in the excel sheet with name "data". This tab will contain a randomized snapshot of input data being read from the input file. The input data snapshot will be extracted from V.ds = df.
enhancement good first issue

opened by Priyanka-Vevesta 0

Releases(v6.8.2)

v6.8.2(Sep 3, 2022)

Simplified the library interface
Source code(tar.gz)
Source code(zip)
vevestaX-6.8.2-py3-none-any.whl(16.26 KB)
v6.7.0(Jul 13, 2022)

Source code(tar.gz)
Source code(zip)
vevestaX-6.7.0-py3-none-any.whl(16.02 KB)
v6.5.3(Jul 3, 2022)

Source code(tar.gz)
Source code(zip)
vevestaX-6.5.3-py3-none-any.whl(15.52 KB)
v6.5.2(Jul 1, 2022)

Source code(tar.gz)
Source code(zip)
vevestaX-6.5.2-py3-none-any.whl(15.51 KB)
v6.5.1(Jul 1, 2022)

Source code(tar.gz)
Source code(zip)
vevestaX-6.5.1-py2.py3-none-any.whl(15.67 KB)
v6.3.0(Jun 28, 2022)

Added integration with Github.
Source code(tar.gz)
Source code(zip)
vevestaX-6.3.0-py2.py3-none-any.whl(15.42 KB)
v5.5.0(Jun 2, 2022)

3d plots were generated
Source code(tar.gz)
Source code(zip)
v5.4.0(May 19, 2022)

Add box plots for numeric data
Source code(tar.gz)
Source code(zip)
vevestaX-5.4.0-py3-none-any.whl(13.22 KB)
v5.3.0(May 18, 2022)

Added following values to profiling report Kurtosis Skewness Outliers Outliers (%) Median Mode Q1 quantile Q2 quantile Q3 quantile 100th quantile
Source code(tar.gz)
Source code(zip)
vevestaX-5.3.0-py3-none-any.whl(13.00 KB)
v5.2.0(May 16, 2022)

With this release, we add another tab for data profiling. The variables data profile calculates following values: Distinct Distinct (%) Missing Missing (%) Infinite Infinite (%) Mean Minimum Maximum Zeros Zeros (%) Negative Negative (%) Total Memory size
Source code(tar.gz)
Source code(zip)
vevestaX-5.2.0-py3-none-any.whl(12.66 KB)
pysparkCorrelation(May 11, 2022)

Source code(tar.gz)
Source code(zip)
vevestaX-5.1.0-py3-none-any.whl(12.25 KB)
pysparkIntegration(May 8, 2022)

Integrated with pyspark.
Source code(tar.gz)
Source code(zip)
vevestaX-5.0.0-py3-none-any.whl(11.99 KB)
updatedLibraryDependency(Apr 12, 2022)

Source code(tar.gz)
Source code(zip)
vevestaX-3.3.0-py3-none-any.whl(11.44 KB)
updatedDependencies(Apr 11, 2022)

Source code(tar.gz)
Source code(zip)
vevestaX-3.0.0-py3-none-any.whl(11.43 KB)
colab/kaggle(Apr 7, 2022)

Source code(tar.gz)
Source code(zip)
vevestaX-2.9.0-py3-none-any.whl(11.16 KB)
majorbugfix(Apr 3, 2022)

Source code(tar.gz)
Source code(zip)
vevestaX-2.8.0-py3-none-any.whl(10.51 KB)
EDA(Apr 2, 2022)

Source code(tar.gz)
Source code(zip)
vevestaX-2.7.0-py3-none-any.whl(10.50 KB)
EDA_extended(Apr 1, 2022)

Source code(tar.gz)
Source code(zip)
vevestaX-2.6.0-py3-none-any.whl(10.35 KB)
updatedContent(Mar 27, 2022)

Source code(tar.gz)
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vevestaX-2.5.0-py3-none-any.whl(9.91 KB)
messagesUpdated(Mar 26, 2022)

Source code(tar.gz)
Source code(zip)
vevestaX-2.3.0-py3-none-any.whl(9.77 KB)
correlation-plot(Mar 23, 2022)

Added EDA-correlation to the output
Source code(tar.gz)
Source code(zip)
vevestaX-2.1.0-py3-none-any.whl(9.69 KB)
performance-plots(Mar 9, 2022)

Source code(tar.gz)
Source code(zip)
mlops(Nov 3, 2021)

Library works with spyder
Source code(tar.gz)
Source code(zip)
vevestaX-1.0.0-py3-none-any.whl(7.10 KB)

Owner

Vevesta

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VevestaX is an open source Python package for ML Engineers and Data Scientists.

Related tags

Overview

VevestaX

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Comments

Create a tab in the excel created using V.dump. The tab will contain a random set of rows from the input data (panda data frame)

Releases(v6.8.2)

v6.8.2(Sep 3, 2022)

v6.7.0(Jul 13, 2022)

v6.5.3(Jul 3, 2022)

v6.5.2(Jul 1, 2022)

v6.5.1(Jul 1, 2022)

v6.3.0(Jun 28, 2022)

v5.5.0(Jun 2, 2022)

v5.4.0(May 19, 2022)

v5.3.0(May 18, 2022)

v5.2.0(May 16, 2022)

pysparkCorrelation(May 11, 2022)

pysparkIntegration(May 8, 2022)

updatedLibraryDependency(Apr 12, 2022)

updatedDependencies(Apr 11, 2022)

colab/kaggle(Apr 7, 2022)

majorbugfix(Apr 3, 2022)

EDA(Apr 2, 2022)

EDA_extended(Apr 1, 2022)

updatedContent(Mar 27, 2022)

messagesUpdated(Mar 26, 2022)

correlation-plot(Mar 23, 2022)

performance-plots(Mar 9, 2022)

mlops(Nov 3, 2021)

Owner

Vevesta

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