hsmm4acc | Behaviour detection in wearable movement sensor data
kandi X-RAY | hsmm4acc Summary
kandi X-RAY | hsmm4acc Summary
hsmm4acc is a Python library. hsmm4acc 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.
Behaviour detection in wearable movement sensor data
Behaviour detection in wearable movement sensor data
Support
Quality
Security
License
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Support
hsmm4acc has a low active ecosystem.
It has 7 star(s) with 7 fork(s). There are no watchers for this library.
It had no major release in the last 12 months.
There are 2 open issues and 1 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of hsmm4acc is v0.1
Quality
hsmm4acc has no bugs reported.
Security
hsmm4acc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
hsmm4acc is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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hsmm4acc releases are available to install and integrate.
Build file is available. You can build the component from source.
Installation instructions are available. Examples and code snippets are not available.
Top functions reviewed by kandi - BETA
kandi has reviewed hsmm4acc and discovered the below as its top functions. This is intended to give you an instant insight into hsmm4acc implemented functionality, and help decide if they suit your requirements.
- Process one or more data files
- Load acceleromater data
- Extract subset sequences from a dataset
- Returns a list of filenames
- Save subsets to subsets_path
- Switches the positions in the dataframe
- Resample the model
- Sample the alpha distribution
- Calculate statistics about the product of data
- Train the HMM model
- Iterate over a batch of states
- Read data from a CSV file
- Plot hidden states and variance
- Return a colormap
- Train a HMM
- Log likelihood of a fixed rate
- Plot Gaussian distribution
- Read a file
Get all kandi verified functions for this library.
hsmm4acc Key Features
No Key Features are available at this moment for hsmm4acc.
hsmm4acc Examples and Code Snippets
No Code Snippets are available at this moment for hsmm4acc.
Community Discussions
No Community Discussions are available at this moment for hsmm4acc.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install hsmm4acc
Python 2.7
pip
Navigate to the root of this repository. To install, try:.
The pyhsmm package needs the right gcc compiler (it seems to work with gcc 4.7). You can clone the pyhsmm package and compile it:. Which should solve the issue. See also https://github.com/mattjj/pyhsmm/issues/55. You can disable the use of mkl with: conda install nomkl.
pip
Navigate to the root of this repository. To install, try:.
The pyhsmm package needs the right gcc compiler (it seems to work with gcc 4.7). You can clone the pyhsmm package and compile it:. Which should solve the issue. See also https://github.com/mattjj/pyhsmm/issues/55. You can disable the use of mkl with: conda install nomkl.
Support
The pyhsmm package needs the right gcc compiler (it seems to work with gcc 4.7). You can clone the pyhsmm package and compile it:. Which should solve the issue. See also https://github.com/mattjj/pyhsmm/issues/55. You can disable the use of mkl with: conda install nomkl.
Find more information at:
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