pycm | Multi-class confusion matrix library in Python | Machine Learning library

 by   sepandhaghighi Python Version: 4.0 License: MIT

kandi X-RAY | pycm Summary

kandi X-RAY | pycm Summary

pycm is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning applications. pycm has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install pycm' or download it from GitHub, PyPI.

PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters. PyCM is the swiss-army knife of confusion matrices, targeted mainly at data scientists that need a broad array of metrics for predictive models and accurate evaluation of a large variety of classifiers.
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            kandi-support Support

              pycm has a medium active ecosystem.
              It has 1382 star(s) with 118 fork(s). There are 38 watchers for this library.
              There were 1 major release(s) in the last 12 months.
              There are 8 open issues and 186 have been closed. On average issues are closed in 317 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of pycm is 4.0

            kandi-Quality Quality

              pycm has 0 bugs and 0 code smells.

            kandi-Security Security

              pycm has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              pycm code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              pycm is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              pycm 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 pycm and discovered the below as its top functions. This is intended to give you an instant insight into pycm implemented functionality, and help decide if they suit your requirements.
            • Save the confusion matrix
            • Return HTML report of class statistics
            • Test if value is a float
            • Round a number
            • Saves the confusion matrix
            • Print a table of the predicted classes
            • Prints the summary statistics
            • Format a sparse matrix
            • Calculate F_beta
            • Calculate the alpha coefficient
            • R Weighted Kappa
            • Calculate brier score
            • Reads the README md file
            • Calculate the NB coefficients for each class
            • Calculates the Aickin alpha distribution
            • Calculate T
            • Calculate IBA alpha
            • Calculate the recommended recommender for the given classes
            • Print the confusion matrix
            • Print the class statistics
            • Save the results to a file
            • Plot the confusion matrix
            • Prints the normalized matrix
            • Saves the classification matrix to a csv file
            • Compute the CI coefficient
            • Returns the position of the class
            Get all kandi verified functions for this library.

            pycm Key Features

            No Key Features are available at this moment for pycm.

            pycm Examples and Code Snippets

            How to find pre-trained model accuracy and confusion matrix for object detection
            Pythondot img1Lines of Code : 8dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            y_predicted = model.predict(testX, batch_size=64)
            
            from pycm import *
            
            cm = ConfusionMatrix(actual_vector=y_test, predict_vector=y_predicted)
            
            print(cm)
            

            Community Discussions

            QUESTION

            Colab PyTorch | ImportError: /usr/local/lib/python3.7/dist-packages/_XLAC.cpython-37m-x86_64-linux-gnu.so
            Asked 2021-Dec-03 at 09:29

            On Google Colaboratory, I have tried all 3 runtimes: CPU, GPU, TPU. All give the same error.

            Cells:

            ...

            ANSWER

            Answered 2021-Aug-19 at 14:08

            Searching online; there semes to be many causes for this same problem.

            In my case, setting Accelerator to None in Google Colaboratory solved this.

            Source https://stackoverflow.com/questions/68846290

            QUESTION

            Azure DevOps | E265 block comment should start with '# ' (linting)
            Asked 2021-Sep-28 at 14:14

            I cannot see what the error is here. I only think these are Warnings.

            What is there error message, and a probable cause?

            Update: I ran linting in VS Code using Ctrl+Shift+P: >Python: Run Linting. Pushed changes and ran the pipeline again.

            test_ontology_tagger.py:

            ...

            ANSWER

            Answered 2021-Sep-28 at 14:14

            The linter package I was using is flake8.

            This was a series of code quality problems.

            The last one being E265 block comment should start with '# '.

            This meant that a space had to appear immediately after #; before any and all other text.

            Source https://stackoverflow.com/questions/69349497

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install pycm

            ⚠️ PyCM 2.4 is the last version to support Python 2.7 & Python 3.4. ⚠️ Plotting capability requires Matplotlib (>= 3.0.0) or Seaborn (>= 0.9.1).
            Run easy_install --upgrade pycm (Need root access)

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install pycm

          • CLONE
          • HTTPS

            https://github.com/sepandhaghighi/pycm.git

          • CLI

            gh repo clone sepandhaghighi/pycm

          • sshUrl

            git@github.com:sepandhaghighi/pycm.git

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