Personal Python lib for used on EDA's and train ML models
Project description
Gobuub Stack Model lib
I create this little library for a personal project.
On it you can find four packages with different functions, the finally of this library is to have in a only one library the necessary elements to make a quickly EDA and make an easy train stack model.
-
Print Correlation:
- This function returns a correlation matrix plot.
-
Print Scatter:
- This function returns an scatter plot.
-
Train levels:
- This function train a list of different machine learning models, you must import it from sklearn library, and returns the prediction of each model on a pandas DataFrame, that it would be used to train the next level of stack model.
-
Train stack model:
- This function receive a list of predictions makes with train levels and use it to train another level of the stack model, the final level only can have one model.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
Close
Hashes for gobuubstackmodel-0.9-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 017c5d85301d9e060ad1aae264b703670f09dd06b403b7ee88aa29254301dac3 |
|
MD5 | 935a356ccc5eb712044d6bed03ec2094 |
|
BLAKE2b-256 | be3f031591a02bc0faddab9f30107ca0386103a68d6932004720449d82f121ac |