stock-prediction | 股票预测 / 量化交易比赛 | Machine Learning library

 by   Ailln Python Version: Current License: MIT

kandi X-RAY | stock-prediction Summary

kandi X-RAY | stock-prediction Summary

stock-prediction is a Python library typically used in Artificial Intelligence, Machine Learning applications. stock-prediction has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

股票预测 / 量化交易比赛
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              stock-prediction has a low active ecosystem.
              It has 20 star(s) with 7 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              stock-prediction has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of stock-prediction is current.

            kandi-Quality Quality

              stock-prediction has no bugs reported.

            kandi-Security Security

              stock-prediction has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              stock-prediction 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

              stock-prediction releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed stock-prediction and discovered the below as its top functions. This is intended to give you an instant insight into stock-prediction implemented functionality, and help decide if they suit your requirements.
            • Run the test
            • Merge date data
            • Removes extreme value from dataframe
            • Get test data
            • Neutralization function
            • Generate test data
            • Compute the standard deviation of the data
            • Compute the mean value of a DataFrame
            • Get the standard deviation of a DataFrame
            • Get a sklearn model by name
            • Train the model
            • Run train_utils
            • Generate train data
            • Get training data
            • Returns the mean value of a DataFrame
            Get all kandi verified functions for this library.

            stock-prediction Key Features

            No Key Features are available at this moment for stock-prediction.

            stock-prediction Examples and Code Snippets

            No Code Snippets are available at this moment for stock-prediction.

            Community Discussions

            QUESTION

            How to upload files to Amazon EMR?
            Asked 2021-Apr-13 at 08:00

            My code is as follows:

            ...

            ANSWER

            Answered 2021-Apr-13 at 08:00

            Your understanding is correct.

            --files argument is uploading files to executors only.

            See this in the spark documentation

            file: - Absolute paths and file:/ URIs are served by the driver’s HTTP file server, and every executor pulls the file from the driver HTTP server.

            You can read more about this at advanced-dependency-management

            Now coming back to your second question

            How can I upload to master?

            There is a concept of bootstrap-action in EMR. From the official documentation it means the following:

            You can use a bootstrap action to install additional software or customize the configuration of cluster instances. Bootstrap actions are scripts that run on cluster after Amazon EMR launches the instance using the Amazon Linux Amazon Machine Image (AMI). Bootstrap actions run before Amazon EMR installs the applications that you specify when you create the cluster and before cluster nodes begin processing data.

            How do I use it in my case?

            While spawning the cluster you can specify your script in BootstrapActions JSON Something like the following along with other custom configurations:

            Source https://stackoverflow.com/questions/67042056

            QUESTION

            Wordpress widget as div
            Asked 2018-Sep-05 at 18:02

            I created simple widget with "Hello World!" as content:

            ...

            ANSWER

            Answered 2018-Sep-05 at 17:36

            You can use it like this

            Source https://stackoverflow.com/questions/52190416

            QUESTION

            Numpy Array creation causing "ValueError: invalid literal for int() with base 10: 'n'"
            Asked 2018-Feb-25 at 23:33

            I'm trying to run a predictive RNN from this repo https://github.com/jgpavez/LSTM---Stock-prediction. "python lstm_forex.py"
            It seems to be having trouble creating an empty Numpy array

            The function giving me problems, starting with the line 'days', fourth from the bottom.

            ...

            ANSWER

            Answered 2018-Feb-25 at 23:33

            You're trying to int() the string 'n' in your assertion. To get the same error:

            Source https://stackoverflow.com/questions/48979223

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

            Vulnerabilities

            No vulnerabilities reported

            Install stock-prediction

            You can download it from GitHub.
            You can use stock-prediction 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 .
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            CLONE
          • HTTPS

            https://github.com/Ailln/stock-prediction.git

          • CLI

            gh repo clone Ailln/stock-prediction

          • sshUrl

            git@github.com:Ailln/stock-prediction.git

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