Row 7204

Row ID: 7204 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 7204 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Hi, i just started a new project, i have this traffic datasets with 5 Minutes time intervals , and flow and speed, now i tried using prediction models like Lstm and gru successfully with flow or speed but when i try to use the model on both speed and flow it doesn’t work. Any inputs where can i learn this stuff ?

FieldValue
text Hi, i just started a new project, i have this traffic datasets with 5 Minutes time intervals , and flow and speed, now i tried using prediction models like Lstm and gru successfully with flow or speed but when i try to use the model on both speed and flow it doesn’t work. Any inputs where can i learn this stuff ?
label r/machinelearning
dataType post
communityName r/MachineLearning
datetime 2024-05-15
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url_encoded Z0FBQUFBQm5Lak9IMUVOVks5YUJwaGFDWGJCSlNCRWhOSi05cnBWdTBZUnQxUEJVTWRjMzV3UjlKZVlyQi1yZGJxZzVVMU5jMFlQMlV1ZTl6eERwdXZTU2dEZE9PLU52X3pXNkVnTHV1dnNuTHUzaUlIUzA5cHhEV1A3eWRYVHI2Y00zc1JxVWpSV21WMGlfWk1jN05ucHg1VGppYzBpOFUzSUdMQVd2Y0Z3bldsQ0dhUFJ2MXdsaEdYOWpCWTR2Q1gwZDZHRHY4eElFc1VHVXlOaHFCZWYxTkRieVI3TWx1UT09

Raw Record

{
  "text": "Hi, i just started a new project, i have this traffic datasets with 5 Minutes time intervals , and flow and speed, now i tried using prediction models like Lstm and gru successfully with flow or speed but when i try to use the model on both speed and flow it doesn’t work. Any inputs where can i learn this stuff ?",
  "label": "r/machinelearning",
  "dataType": "post",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-15",
  "username_encoded": "Z0FBQUFBQm5LakwzdnkxaFA4Y3FvQkpIdHV1VWFQdnZNbGI4YlhpYVV3ZUNaVTlPOE5JX3FIZ3VZdU9tblJaVWlpX19IV0V5YkFKaHhxcFk3eTF0M2VJczl6T1kxaHpyeDVkWVM5M1J4MUVZb3VDVkVQaF9kN009",
  "url_encoded": "Z0FBQUFBQm5Lak9IMUVOVks5YUJwaGFDWGJCSlNCRWhOSi05cnBWdTBZUnQxUEJVTWRjMzV3UjlKZVlyQi1yZGJxZzVVMU5jMFlQMlV1ZTl6eERwdXZTU2dEZE9PLU52X3pXNkVnTHV1dnNuTHUzaUlIUzA5cHhEV1A3eWRYVHI2Y00zc1JxVWpSV21WMGlfWk1jN05ucHg1VGppYzBpOFUzSUdMQVd2Y0Z3bldsQ0dhUFJ2MXdsaEdYOWpCWTR2Q1gwZDZHRHY4eElFc1VHVXlOaHFCZWYxTkRieVI3TWx1UT09"
}

Entry Information