Instructions to use JabaleNurAdnan/CS_Checkpoints_Dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use JabaleNurAdnan/CS_Checkpoints_Dataset with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://JabaleNurAdnan/CS_Checkpoints_Dataset") - Notebooks
- Google Colab
- Kaggle
| { | |
| "name": "CICIDS2017", | |
| "n_train": 2264594, | |
| "n_test": 566149, | |
| "n_features": 30, | |
| "features": [ | |
| "Packet Length Variance", | |
| "Average Packet Size", | |
| "Packet Length Std", | |
| "Packet Length Mean", | |
| "Total Length of Bwd Packets", | |
| "Subflow Bwd Bytes", | |
| "Subflow Fwd Bytes", | |
| "Total Length of Fwd Packets", | |
| "Bwd Packet Length Mean", | |
| "Avg Bwd Segment Size", | |
| "Init_Win_bytes_forward", | |
| "Destination Port", | |
| "Bwd Packet Length Max", | |
| "Max Packet Length", | |
| "Fwd Packet Length Max", | |
| "Init_Win_bytes_backward", | |
| "Flow IAT Max", | |
| "Flow Bytes/s", | |
| "Flow Duration", | |
| "Bwd Packets/s", | |
| "Bwd Packet Length Std", | |
| "Avg Fwd Segment Size", | |
| "Fwd Packet Length Mean", | |
| "Bwd Header Length", | |
| "Fwd Packets/s", | |
| "Fwd IAT Max", | |
| "Fwd Header Length", | |
| "Fwd Header Length.1", | |
| "Flow Packets/s", | |
| "Fwd IAT Total" | |
| ], | |
| "n_clients": 30, | |
| "alpha": 0.5 | |
| } |