learn-component | template分支,用12个例子全面示范Angular的模板语法

 by   learn-angular-series TypeScript Version: Current License: MIT

kandi X-RAY | learn-component Summary

kandi X-RAY | learn-component Summary

learn-component is a TypeScript library. learn-component has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

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              learn-component has a low active ecosystem.
              It has 19 star(s) with 10 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              learn-component has no issues reported. There are 18 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of learn-component is current.

            kandi-Quality Quality

              learn-component has no bugs reported.

            kandi-Security Security

              learn-component has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              learn-component 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

              learn-component releases are not available. You will need to build from source code and install.

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            learn-component Key Features

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

            learn-component Examples and Code Snippets

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

            Community Discussions

            QUESTION

            sklearn "Pipeline instance is not fitted yet." error, even though it is
            Asked 2021-Jun-11 at 23:28

            A similar question is already asked, but the answer did not help me solve my problem: Sklearn components in pipeline is not fitted even if the whole pipeline is?

            I'm trying to use multiple pipelines to preprocess my data with a One Hot Encoder for categorical and numerical data (as suggested in this blog).

            Here is my code, and even though my classifier produces 78% accuracy, I can't figure out why I cannot plot the decision-tree I'm training and what can help me fix the problem. Here is the code snippet:

            ...

            ANSWER

            Answered 2021-Jun-11 at 22:09

            You cannot use the export_text function on the whole pipeline as it only accepts Decision Tree objects, i.e. DecisionTreeClassifier or DecisionTreeRegressor. Only pass the fitted estimator of your pipeline and it will work:

            Source https://stackoverflow.com/questions/67943229

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

            Vulnerabilities

            No vulnerabilities reported

            Install learn-component

            You can download it from GitHub.

            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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