train-test-sim

v0.1.1

Library to create simulation to find out what train test ratio is ideal For more information about how to use this package see README

Latest version published 9 months ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

64 / 100

security
Security review needed
popularity
Small
maintenance
Sustainable
community
Active

Popularity

Small

GitHub Stars: 13.4K
Forks: 698
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package train-test-sim, we found that it has been starred 13,402 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Apr 7, 2024
Direct Vulnerabilities: 0
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0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
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0
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License Risk: 0
H
0
M
0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 52
Open PR: 4
Last Release: 9 months ago
Last Commit: 1 month ago

Further analysis of the maintenance status of train-test-sim based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.

We found that train-test-sim demonstrates a positive version release cadence with at least one new version released in the past 12 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 20
Funding: No

With more than 10 contributors for the train-test-sim repository, this is possibly a sign for a growing and inviting community.

We found a way for you to contribute to the project! Looks like train-test-sim is missing a Code of Conduct.

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Package

Python Versions Compatibility: Unspecified

Age: 9 months
Latest Release: 9 months ago
Dependencies: 3 Direct / 9 Total
Versions: 2
Maintainers: 1
Wheels: OS Independent

Readme

train_test_sim

A library to create quick simulation of optimal train-test size you can keep

Examples of How To Use the library

You can use this to alter according to your requirements

##syntax
from train_test_sim import get_simulation
model=RandomForestClassifier()
get_simulation(X,Y,model)

you can use any model on sklearn or xgboost. All you need to do is specify correct model name

from train_test_sim import get_simulation
from sklearn.datasets import load_diabetes
import numpy as np
from sklearn.ensemble import RandomForestClassifier
diabetes = load_diabetes()
X, y = diabetes.data, diabetes.target

# Convert the target variable to binary (1 for diabetes, 0 for no diabetes)
Y = (y > np.median(y)).astype(int)
model = RandomForestClassifier()

get_simulation(X, Y, model)

Note: We can create this for any model

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train-test-sim dependencies

numpy pandas scikit-learn

FAQs

What is train-test-sim?

Library to create simulation to find out what train test ratio is ideal. Visit Snyk Advisor to see a full health score report for train-test-sim, including popularity, security, maintenance & community analysis.

Is train-test-sim popular?

We’re still processing downloads data for the python package train-test-sim. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is train-test-sim well maintained?

We found indications that train-test-sim maintenance is sustainable demonstrating some project activity. We saw a total of 20 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is train-test-sim safe to use?

While scanning the latest version of train-test-sim, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 3 December-2024, at 14:04 (UTC).

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