# MyGeoMan

**Repository Path**: wumingyao/MyGeoMan

## Basic Information

- **Project Name**: MyGeoMan
- **Description**: No description available
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2020-04-13
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

**MyGeoMAN**

### Model Input
The model has the following inputs:
* local_inputs: the input of local spatial attention, shape->[batch_size, n_steps_encoder, n_input_encoder]
* global_inputs: the input of global spatial attention, shape->[batch_size, n_steps_encoder, n_sensors]
* external_inputs: the input of external factors, shape->[batch_size, n_steps_decoder, n_external_input]
* local_attn_states: shape->[batch_size, n_input_encoder, n_steps_encoder]
* global_attn_states: shape->[batch_size, n_sensors, n_input_encoder, n_steps_encoder]
* labels: ground truths, shape->[batch_size, n_steps_decoder, n_output_decoder]


#### 参数说明
* n_steps_encoder: length of encoder, i.e., how many historical time steps we use for predictions
* n_steps_decoder: length of decoder, i.e., how many future time steps we predict