learn-python | Python 学习笔记

 by   lovexiaov Python Version: Current License: No License

kandi X-RAY | learn-python Summary

kandi X-RAY | learn-python Summary

learn-python is a Python library. learn-python has no bugs, it has no vulnerabilities and it has low support. However learn-python build file is not available. You can download it from GitHub.

Python 学习笔记
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              learn-python has a low active ecosystem.
              It has 6 star(s) with 8 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              learn-python has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of learn-python is current.

            kandi-Quality Quality

              learn-python has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              learn-python does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              learn-python releases are not available. You will need to build from source code and install.
              learn-python has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed learn-python and discovered the below as its top functions. This is intended to give you an instant insight into learn-python implemented functionality, and help decide if they suit your requirements.
            • Moves the field to the given direction
            • Invert a field
            • Transpose fields
            • Check if move is possible
            • Draws the game
            • Checks if the game is a gameover
            • Returns True if the field is a win
            • Go to the current directory
            • List all directories
            • List database
            • Run a mysql query
            • Handle GET request
            • Compress the given buffer
            • Send a single packet
            • Reset the game
            • Function decorator
            • Get the current user action
            • Test test
            • Check if there is a gameover
            • True if the value is a win value
            Get all kandi verified functions for this library.

            learn-python Key Features

            No Key Features are available at this moment for learn-python.

            learn-python Examples and Code Snippets

            No Code Snippets are available at this moment for learn-python.

            Community Discussions

            QUESTION

            Scikit-learn cross_val_score throws ValueError: The first argument to `Layer.call` must always be passed
            Asked 2021-Apr-06 at 09:24

            I'm working on a deep learning project and I tried following a tutorial to evaluate my model with Cross-Validation.

            I was looking at this tutorial: https://machinelearningmastery.com/use-keras-deep-learning-models-scikit-learn-python/

            I started by first splitting my dataset into features and labels:

            ...

            ANSWER

            Answered 2021-Apr-06 at 06:08
            model = KerasClassifier(build_fn=create_model(), ...) 
            

            Source https://stackoverflow.com/questions/66963373

            QUESTION

            python naive Bayes tutorial - what is two_obs_test[continuous_list]?
            Asked 2021-Feb-11 at 20:39

            I'm following a tutorial on Naive Bayes at https://towardsdatascience.com/why-how-to-use-the-naive-bayes-algorithms-in-a-regulated-industry-with-sklearn-python-code-dbd8304ab2cf but I'm stuck on interpreting the reference in the third code block to two_obs_test[continuous_list]

            The full code listing is ...

            ...

            ANSWER

            Answered 2021-Feb-11 at 19:52

            The tutorial has too many gaps. I think a view of the insides of Naive Bayes without reading a whole book is better found at https://machinelearningmastery.com/naive-bayes-classifier-scratch-python/ . I am not persisting with the tutorial and I advise others to avoid it.

            Source https://stackoverflow.com/questions/66094143

            QUESTION

            Is there a way to do transformation on features X based on true labels in y?
            Asked 2020-May-27 at 13:08

            I have checked other questions covering the topic such as this, this, this, this and this as well as some great blog posts, blog1, blog2 and blog3 (kudos to respective author) but without success.

            What I want to do is to transform rows whose values are under a certain threshold in X, but only those that correspond to some specific classes in the target y (y != 9). The threshold is calculated based on the other class (y == 9). However, I have problems understanding how to implement this properly.

            As I want to do parameter tuning and cross-validation on this I will have to do the transformation using a pipeline. My custom transformer class looks like below. Note that I haven't included TransformerMixin as I believe I need to take into account for y in the fit_transform() function.

            ...

            ANSWER

            Answered 2020-May-27 at 13:08

            In the comments I was talking about this:

            Source https://stackoverflow.com/questions/61975829

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

            Vulnerabilities

            No vulnerabilities reported

            Install learn-python

            You can download it from GitHub.
            You can use learn-python like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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 .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/lovexiaov/learn-python.git

          • CLI

            gh repo clone lovexiaov/learn-python

          • sshUrl

            git@github.com:lovexiaov/learn-python.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link