Metadata-Version: 2.1
Name: kalna
Version: 0.0.9
Summary: A package automating the ML pipelines
Home-page: 
Author: Sayantan Ghosh
Author-email: sayantanghosh.work@gmail.com
License: UNKNOWN
Keywords: package numbers calculations
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: sklearn
Requires-Dist: matplotlib
Requires-Dist: seaborn

# Kalna 0.0.7
***


## Documentation

**Kalna is a powerful Automated Machine Learning python library.** It provides the following features:


* Fast reading and distributed data preprocessing/cleaning/formatting



## Installation
To install via `pip` use:
```python
pip install kalna
```




### Data Details
```python
from kalna import data_details

#showMissingValues will show the details of the missing values with perchentage.
data_details.showMissingValues(data)


#showCrdinality will show the cardinality of Non-Numeric Values.
data_details.showCardinality(data)

#Missing Values Imputation of Numerical Features.
#method:['mean','median']
#Return Type: Dataframe
data_details.numImputer(data,missing_feat,method)


#Missing Values Imputation of categorical Features.
#method:['mode','new_cat']
#Return Type: Dataframe
data_details.catImputer(data,missing_feat,method)
```
### Data Visualization
```python
from kalna import visualizations

#x_feat: feature you want to analyze with target feature
visualizations.boxPlot(data,x_feat,target_feat)
```



