MyMachineLearning | machine learning algorithm library in pure Python | Machine Learning library

 by   nick6918 Python Version: Current License: No License

kandi X-RAY | MyMachineLearning Summary

kandi X-RAY | MyMachineLearning Summary

MyMachineLearning is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Example Codes applications. MyMachineLearning has no bugs, it has no vulnerabilities and it has low support. However MyMachineLearning build file is not available. You can download it from GitHub.

A machine learning algorithm library in pure Python with mini project included for every algorithm.
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              MyMachineLearning has a low active ecosystem.
              It has 11 star(s) with 0 fork(s). There are 1 watchers for this library.
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              It had no major release in the last 6 months.
              MyMachineLearning has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of MyMachineLearning is current.

            kandi-Quality Quality

              MyMachineLearning has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

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

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              MyMachineLearning releases are not available. You will need to build from source code and install.
              MyMachineLearning has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              MyMachineLearning saves you 358 person hours of effort in developing the same functionality from scratch.
              It has 855 lines of code, 60 functions and 13 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed MyMachineLearning and discovered the below as its top functions. This is intended to give you an instant insight into MyMachineLearning implemented functionality, and help decide if they suit your requirements.
            • Creates a plot
            • Function to plot a tree
            • Returns the depth of the tree
            • Count the number of leafs in the tree
            • Helper function to add text to the plot
            • Adds a node to the plot
            • Extracts the data from the training dataset
            • Return example tree
            Get all kandi verified functions for this library.

            MyMachineLearning Key Features

            No Key Features are available at this moment for MyMachineLearning.

            MyMachineLearning Examples and Code Snippets

            No Code Snippets are available at this moment for MyMachineLearning.

            Community Discussions

            Trending Discussions on MyMachineLearning

            QUESTION

            Tensorflow Conv2d function - Type error
            Asked 2018-Mar-15 at 09:37

            I'm working on a neural net problem, and in the conv2d function, i'm getting a Type mismatch issue.

            Here's the code snippet conv_layer1 = tf.nn.conv2d(inputs, w_layer1, strides=strides, padding='VALID') + b_layer1

            I'm getting this error

            TypeError: Expected binary or unicode string, got >

            I tried having [1,1,1,1] inline aswell as a variable, but no luck

            The complete error trace is here(search for "In [46]:" https://github.com/mymachinelearnings/CarND-Traffic-Sign-Classifier-Project/blob/attempt1/Traffic_Sign_Classifier.ipynb

            ...

            ANSWER

            Answered 2018-Mar-15 at 09:37

            Looks like a typo. In your notebook, you're feeding input into your network which is a built-in python method to get input from e.g. a keyboard. Obviously this doesn't make much sense as input to a convolutional network. Chances are you meant to type inputs as in your question?

            Note that the syntax highlighting in the notebook shows this quite clearly -- input is displayed in green (at least in my browser) signifying that it has a special meaning.

            Source https://stackoverflow.com/questions/49293263

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

            Vulnerabilities

            No vulnerabilities reported

            Install MyMachineLearning

            You can download it from GitHub.
            You can use MyMachineLearning 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 Chinese user, zhihu is the fastest way to get response from me: https://www.zhihu.com/people/NickWey. You can also check my tech blog for more: http://nickiwei.github.io/.
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