skits | scikit-learn-inspired time series | Time Series Database library
kandi X-RAY | skits Summary
kandi X-RAY | skits Summary
A library for SciKit-learn-Inspired Time Series models. The primary goal of this library is to allow one to train time series prediction models using a similar API to scikit-learn. Consequently, similar to scikit-learn, this library consists of preprocessors, feature_extractors, and pipelines.
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Top functions reviewed by kandi - BETA
- Fit the final estimator
- Fit the transformer
- Transform data into X
- Fit the model
- Transform the input data
- Fill missing values
- Apply transforms
- Check if the transform needs a refit
- Transform y to y
- Expand axis if needed
- Compute the mean
- Calculate the mean value of the Gaussian distribution
- Compute the Fourier terms of the covariance matrix
- Calculate the trig parameters
skits Key Features
skits Examples and Code Snippets
Community Discussions
Trending Discussions on skits
QUESTION
I'm currently trying to solve a little problem.
I have the following code. I try to filter and re-render the fetched movielist based on the chosen genre.
So far i am able to cast the selected option to an object in my js-script but i don't know where to go from here. The genre values in my observable array is an array of its own since one movie can have multiple genres.
Here's my script so far:
...ANSWER
Answered 2020-Dec-12 at 01:27You could add a computed observable filteredMoviesList
which would go through each of the filters you describe and filter for the selected genre. Then in your html you would just bind your foreach binding to that instead of moviesList
. Here is a simple example:
JS
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install skits
You can use skits 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.
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