HMP_Dataset | Public Dataset of Accelerometer Data | Machine Learning library
kandi X-RAY | HMP_Dataset Summary
kandi X-RAY | HMP_Dataset Summary
The Public Dataset of Accelerometer Data for Human Motion Primitives Detection is a public collection of labelled accelerometer data recordings to be used for the creation and validation of acceleration models of human motion primitives. We believe that, in a similar fashion to computer vision public datasets, the adoption of common testbenches for human motion primitives detection algorithms will allow for a better comparison between different approaches and ultimately lead to the development of more accurate and reliable solutions. Detailed documentation about the dataset is provided in the file MANUAL.TXT.
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Community Discussions
Trending Discussions on HMP_Dataset
QUESTION
This is the code i used:
...ANSWER
Answered 2020-May-07 at 14:19try defining spark
var
QUESTION
I have created a pipeline and tried to train Kmean clustering algorithm in spark but it fails and I am unable to find what exact error is. Here is code
...ANSWER
Answered 2020-Apr-17 at 13:40Maybe there is a problem with version libraries and imports, in my pc the code works fine.
I'll show you my .sbt and the output the code produces.
QUESTION
I am learning IBM Apache Spark. I am using HMP dataset. I followed the instructions from a tutorial but the code is not working as intended. Here is me code:
...ANSWER
Answered 2020-Feb-03 at 18:16It seems that you have typo in the option where you specified "delimeter" vs correct option to pass is "delimiter"
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No vulnerabilities reported
Install HMP_Dataset
You can use HMP_Dataset 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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