项目作者: JAVI897

项目描述 :
Threshold analysis
高级语言: Python
项目地址: git://github.com/JAVI897/ML-Metrics.git
创建时间: 2019-10-07T13:56:06Z
项目社区:https://github.com/JAVI897/ML-Metrics

开源协议:

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Python 3.5

ML-Metrics

A simple way to get automated threshold analysis using Streamlit.

Muestra

Requirements

  • python 3.7 version
  • streamlit 0.48.1 version
  • plotly 4.2.1 version
  • numpy
  • pandas

Run

  1. pip install streamlit plotly numpy pandas
  2. git clone https://github.com/JAVI897/ML-Metrics.git
  3. # cd into the project root folder
  4. cd ML-metrics
  5. streamlit run app.py

Getting Started

Clone or download the repository.

Place all of your predictions and your ground truths (saved as numpy arrays) in the data folder so that your data folder resembles this.

  1. .
  2. ├──data
  3. | ├──prediction_1.npy
  4. | ├──test_1.npy