simple_learn | python package to simplify data modeling built | Machine Learning library
kandi X-RAY | simple_learn Summary
kandi X-RAY | simple_learn Summary
simple_learn is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. simple_learn has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install simple_learn' or download it from GitHub, PyPI.
SimpleLearn is a python package that aims to create an automatic process of model algorithm selection, hyper parameter tuning, iterative modelling, and model assessment. This package is built on top of sklearn and leaves all the flexibility and API support available to you. Keep in mind this package does NOT automate the entire process of data science and assumes you are handling tasks such as data preparation and feature engineering. A strong model algorithm cannot apologize for bad data.
SimpleLearn is a python package that aims to create an automatic process of model algorithm selection, hyper parameter tuning, iterative modelling, and model assessment. This package is built on top of sklearn and leaves all the flexibility and API support available to you. Keep in mind this package does NOT automate the entire process of data science and assumes you are handling tasks such as data preparation and feature engineering. A strong model algorithm cannot apologize for bad data.
Support
Quality
Security
License
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Support
simple_learn has a low active ecosystem.
It has 6 star(s) with 6 fork(s). There are 5 watchers for this library.
It had no major release in the last 12 months.
There are 0 open issues and 32 have been closed. On average issues are closed in 16 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of simple_learn is v1.0.0
Quality
simple_learn has no bugs reported.
Security
simple_learn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
simple_learn is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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simple_learn releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed simple_learn and discovered the below as its top functions. This is intended to give you an instant insight into simple_learn implemented functionality, and help decide if they suit your requirements.
- Main class method
- Fits the model
- Save the classifier
- Saves the current regressor
- Load the classifier
- Load the model
- Train the SimpleClassifier
- Run SimpleRegressor
- Returns a simple classifier list
Get all kandi verified functions for this library.
simple_learn Key Features
No Key Features are available at this moment for simple_learn.
simple_learn Examples and Code Snippets
$ pip install simple-learn
>>> from sklearn.datasets import load_iris
>>> from simple_learn.classifiers import SimpleClassifier
>>>
>>> iris = load_iris()
>>> clf = SimpleClassifier()
>>> clf.fit
Community Discussions
Trending Discussions on simple_learn
QUESTION
How to get rows by a specific value of the last data frame column
Asked 2017-Mar-01 at 20:02
I'm searching since a couple of hours without being able to find out how to get rows by a specific value of the last data frame column.
I have this data:
...ANSWER
Answered 2017-Mar-01 at 02:43Kindly go through the following solution:
Get the last column index using following R code (I am dealing with iris
dataset):
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install simple_learn
To install the current release of SimpleLearn:. To update SimpleLearn to the latest version, add --upgrade flag to the above command.
You can build your most recent changes by running the following command from the root directory:.
You can build your most recent changes by running the following command from the root directory:.
Support
There is a lot to do so contributions are really appreciated! This is a great project for early stage developers to work with. To begin it is recommended starting with issues labelled good first issue.
Find more information at:
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