tsts
Docs
Index
🌏 About Project
How a Config File is Structured
Basic Usage
General Settings
Input & Output
Training
Optimizer
Learning Rate Scheduler
Trainer
Model
Local Scaler
Loss Function
Metric
Dataset
Pipeline
Scaler
Dataloader
Logger
Putting It Together
⚡️ Getting Started
Train & Test on a Custom Dataset
Using
tools/train.py
&
tools/test.py
📗 Catalog
Data Augmentation
Gaussian Noise
Loss Functions
DILATE
Mean Absolute Error (MAE)
Mean Absolute Percentage Error (MAPE)
Mean Squared Error (MSE)
Smooth MAE
Models
Informer
N-BEATS
SCINet
Seq2Seq
Optimizers
Adam
AdamW
SAM
SGD
Scalers
Identity Scaler
Min-Max Scaler
Standard Scaler
LR Schedulers
Cosine Annealing
Cosine Annealing Warm Restarts
Exponential Decay
Identity
Step
Index