# Tri-Model Ensemble System for Classification
Under heavy development and research
Developed by Arkitech(Joshua Tan)
## Examples of usage
Create a config file:
```python
from TriModelSystem.utils import create_config
create_config()
```
Training a RMSprop-Adadelta binary classification model:
```python
from TriModelSystem.binclassification import rms_adadelta_model
example_input_shape = (24,)
model = rms_adadelta_model(input_shape=example_input_shape)
TriModelSystem.fit(x=[train_features, train_features],
y=train_labels_encoded,
batch_size=batch_size,
epochs=epochs,
validation_data=([test_features, test_features], test_labels_encoded))
```
Raw data
{
"_id": null,
"home_page": "",
"name": "TriModelSystem",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "python,machine learning,tensorflow,classification,neural network",
"author": "Arkitech (Joshua Tan)",
"author_email": "<joshuatan.helios@gmail.com>",
"download_url": "https://files.pythonhosted.org/packages/3e/99/ce65af48531ad6267d2fb6f70ab17f6c1b8a21d911e4398ec5b12f706a6f/TriModelSystem-0.0.2.tar.gz",
"platform": null,
"description": "\n# Tri-Model Ensemble System for Classification\n\nUnder heavy development and research\n\nDeveloped by Arkitech(Joshua Tan)\n\n## Examples of usage\n\nCreate a config file:\n\n```python\nfrom TriModelSystem.utils import create_config\n\ncreate_config()\n```\n\nTraining a RMSprop-Adadelta binary classification model:\n```python\nfrom TriModelSystem.binclassification import rms_adadelta_model\n\nexample_input_shape = (24,)\nmodel = rms_adadelta_model(input_shape=example_input_shape)\nTriModelSystem.fit(x=[train_features, train_features], \n y=train_labels_encoded, \n batch_size=batch_size, \n epochs=epochs, \n validation_data=([test_features, test_features], test_labels_encoded))\n```\n",
"bugtrack_url": null,
"license": "",
"summary": "Tri-Model Ensemble System for Classification",
"version": "0.0.2",
"project_urls": null,
"split_keywords": [
"python",
"machine learning",
"tensorflow",
"classification",
"neural network"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "8e3ecfe8a2350a6eb3e95b4dd890acf2c3a6ec97ff9fa62714b28dc569446df0",
"md5": "9e5755dbd47503b05f1933c1f711ea2e",
"sha256": "178f6986ebd0e678c8e6886e83ca359870d6fe51c4a58f8381d89de7d696a54c"
},
"downloads": -1,
"filename": "TriModelSystem-0.0.2-py3-none-any.whl",
"has_sig": false,
"md5_digest": "9e5755dbd47503b05f1933c1f711ea2e",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 3552,
"upload_time": "2023-05-17T00:48:59",
"upload_time_iso_8601": "2023-05-17T00:48:59.355874Z",
"url": "https://files.pythonhosted.org/packages/8e/3e/cfe8a2350a6eb3e95b4dd890acf2c3a6ec97ff9fa62714b28dc569446df0/TriModelSystem-0.0.2-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "3e99ce65af48531ad6267d2fb6f70ab17f6c1b8a21d911e4398ec5b12f706a6f",
"md5": "5d4518e533c7a5bf974ad22dcd339c00",
"sha256": "1211231e6214dd4587e2c788f18662edbc981ae5b8359c8a20a27f0520df0c6d"
},
"downloads": -1,
"filename": "TriModelSystem-0.0.2.tar.gz",
"has_sig": false,
"md5_digest": "5d4518e533c7a5bf974ad22dcd339c00",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 3129,
"upload_time": "2023-05-17T00:49:01",
"upload_time_iso_8601": "2023-05-17T00:49:01.867657Z",
"url": "https://files.pythonhosted.org/packages/3e/99/ce65af48531ad6267d2fb6f70ab17f6c1b8a21d911e4398ec5b12f706a6f/TriModelSystem-0.0.2.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-05-17 00:49:01",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "trimodelsystem"
}