{"packages":{"rubix/har":{"dev-master":{"name":"rubix/har","description":"Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.","keywords":["php","classification","dataset","classifier","machine learning","ml","tutorial","momentum","har","data science","Example Project","dimensionality reduction","cross validation","php ml","rubixml","rubix ml","human activity recognition","imu sensor","mobile phone sensor","softmax"],"homepage":"https://github.com/RubixML/HAR","version":"dev-master","version_normalized":"9999999-dev","license":["MIT"],"authors":[{"name":"Andrew DalPino","homepage":"https://github.com/andrewdalpino","role":"Lead Engineer"}],"source":{"url":"https://github.com/RubixML/HAR.git","type":"git","reference":"1ae77f7e399c465455e0480fcb553dfb3af5122a"},"dist":{"url":"https://api.github.com/repos/RubixML/HAR/zipball/1ae77f7e399c465455e0480fcb553dfb3af5122a","type":"zip","shasum":"","reference":"1ae77f7e399c465455e0480fcb553dfb3af5122a"},"type":"project","funding":[],"time":"2022-04-17T03:08:45+00:00","default-branch":true,"require":{"php":">=7.4","rubix/ml":"^2.0"},"uid":3971941},"v1":{"name":"rubix/har","description":"Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.","keywords":["php","classification","dataset","classifier","machine learning","ml","tutorial","momentum","har","data science","Example Project","dimensionality reduction","cross validation","php ml","rubixml","rubix ml","human activity recognition","imu sensor","mobile phone sensor","softmax"],"homepage":"https://github.com/RubixML/HAR","version":"v1","version_normalized":"1.0.0.0","license":["Apache-2.0"],"authors":[{"name":"Andrew DalPino","email":"me@andrewdalpino.com","homepage":"https://andrewdalpino.com","role":"Lead Engineer"}],"source":{"url":"https://github.com/RubixML/HAR.git","type":"git","reference":"dab706b3b549fc69b945bbeca7c207752a796b41"},"dist":{"url":"https://api.github.com/repos/RubixML/HAR/zipball/dab706b3b549fc69b945bbeca7c207752a796b41","type":"zip","shasum":"","reference":"dab706b3b549fc69b945bbeca7c207752a796b41"},"type":"project","funding":[],"time":"2020-06-18T20:38:57+00:00","require":{"php":">=7.2","league/csv":"^9.5","rubix/ml":"^0.1.0-rc2"},"suggest":{"ext-tensor":"For faster training and inference"},"uid":3962669},"v2":{"name":"rubix/har","description":"Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.","keywords":["php","classification","dataset","classifier","machine learning","ml","tutorial","momentum","har","data science","Example Project","dimensionality reduction","cross validation","php ml","rubixml","rubix ml","human activity recognition","imu sensor","mobile phone sensor","softmax"],"homepage":"https://github.com/RubixML/HAR","version":"v2","version_normalized":"2.0.0.0","license":["Apache-2.0"],"authors":[{"name":"Andrew DalPino","email":"me@andrewdalpino.com","homepage":"https://andrewdalpino.com","role":"Lead Engineer"}],"source":{"url":"https://github.com/RubixML/HAR.git","type":"git","reference":"de781dd9b0f22a8d65cb41247ffbb5498154ec42"},"dist":{"url":"https://api.github.com/repos/RubixML/HAR/zipball/de781dd9b0f22a8d65cb41247ffbb5498154ec42","type":"zip","shasum":"","reference":"de781dd9b0f22a8d65cb41247ffbb5498154ec42"},"type":"project","funding":[],"time":"2020-08-06T23:15:29+00:00","require":{"php":">=7.2","rubix/ml":"^0.1.0"},"suggest":{"ext-tensor":"For faster training and inference"},"uid":4336543},"v3":{"name":"rubix/har","description":"Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.","keywords":["php","classification","dataset","classifier","machine learning","ml","tutorial","momentum","har","data science","Example Project","dimensionality reduction","cross validation","php ml","rubixml","rubix ml","human activity recognition","imu sensor","mobile phone sensor","softmax"],"homepage":"https://github.com/RubixML/HAR","version":"v3","version_normalized":"3.0.0.0","license":["Apache-2.0"],"authors":[{"name":"Andrew DalPino","email":"me@andrewdalpino.com","homepage":"https://andrewdalpino.com","role":"Lead Engineer"}],"source":{"url":"https://github.com/RubixML/HAR.git","type":"git","reference":"698c46890b7d34e99dbb6f0dc4eacb72bb9942ba"},"dist":{"url":"https://api.github.com/repos/RubixML/HAR/zipball/698c46890b7d34e99dbb6f0dc4eacb72bb9942ba","type":"zip","shasum":"","reference":"698c46890b7d34e99dbb6f0dc4eacb72bb9942ba"},"type":"project","funding":[],"time":"2020-08-07T08:37:42+00:00","require":{"php":">=7.2","rubix/ml":"^0.1.0"},"suggest":{"ext-tensor":"For faster training and inference"},"uid":4337924},"v4":{"name":"rubix/har","description":"Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.","keywords":["php","classification","dataset","classifier","machine learning","ml","tutorial","momentum","har","data science","Example Project","dimensionality reduction","cross validation","php ml","rubixml","rubix ml","human activity recognition","imu sensor","mobile phone sensor","softmax"],"homepage":"https://github.com/RubixML/HAR","version":"v4","version_normalized":"4.0.0.0","license":["MIT"],"authors":[{"name":"Andrew DalPino","homepage":"https://github.com/andrewdalpino","role":"Lead Engineer"}],"source":{"url":"https://github.com/RubixML/HAR.git","type":"git","reference":"06973813012dc7a4a6ced3a8b46988475da42660"},"dist":{"url":"https://api.github.com/repos/RubixML/HAR/zipball/06973813012dc7a4a6ced3a8b46988475da42660","type":"zip","shasum":"","reference":"06973813012dc7a4a6ced3a8b46988475da42660"},"type":"project","funding":[],"time":"2021-01-01T02:22:18+00:00","require":{"php":">=7.2","rubix/ml":"^0.3.0"},"uid":4802082},"v5":{"name":"rubix/har","description":"Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.","keywords":["php","classification","dataset","classifier","machine learning","ml","tutorial","momentum","har","data science","Example Project","dimensionality reduction","cross validation","php ml","rubixml","rubix ml","human activity recognition","imu sensor","mobile phone sensor","softmax"],"homepage":"https://github.com/RubixML/HAR","version":"v5","version_normalized":"5.0.0.0","license":["MIT"],"authors":[{"name":"Andrew DalPino","homepage":"https://github.com/andrewdalpino","role":"Lead Engineer"}],"source":{"url":"https://github.com/RubixML/HAR.git","type":"git","reference":"1b42bc1aa2857ae546d49a758a617725d0bc448c"},"dist":{"url":"https://api.github.com/repos/RubixML/HAR/zipball/1b42bc1aa2857ae546d49a758a617725d0bc448c","type":"zip","shasum":"","reference":"1b42bc1aa2857ae546d49a758a617725d0bc448c"},"type":"project","funding":[],"time":"2021-05-08T18:15:53+00:00","require":{"php":">=7.4","rubix/ml":"^1.0"},"uid":5181244},"v6":{"name":"rubix/har","description":"Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.","keywords":["php","classification","dataset","classifier","machine learning","ml","tutorial","momentum","har","data science","Example Project","dimensionality reduction","cross validation","php ml","rubixml","rubix ml","human activity recognition","imu sensor","mobile phone sensor","softmax"],"homepage":"https://github.com/RubixML/HAR","version":"v6","version_normalized":"6.0.0.0","license":["MIT"],"authors":[{"name":"Andrew DalPino","homepage":"https://github.com/andrewdalpino","role":"Lead Engineer"}],"source":{"url":"https://github.com/RubixML/HAR.git","type":"git","reference":"1ae77f7e399c465455e0480fcb553dfb3af5122a"},"dist":{"url":"https://api.github.com/repos/RubixML/HAR/zipball/1ae77f7e399c465455e0480fcb553dfb3af5122a","type":"zip","shasum":"","reference":"1ae77f7e399c465455e0480fcb553dfb3af5122a"},"type":"project","funding":[],"time":"2022-04-17T03:08:45+00:00","require":{"php":">=7.4","rubix/ml":"^2.0"},"uid":6201463}}}}