Get Cached Models

This is the process of teaching a machine learning model to make accurate predictions by adjusting its parameters using labeled data. It involves optimizing a specific objective function and aims to create a model that generalizes well to new data.

Method: GET Authorization: No

https://engine.raccoon-ai.io/api/v1/explore/ml/cached/get/<project_id>

Reponse Body

Key	Data Type	Description
id	string	Project identification number
user_id	string	User identification number
model_path	string	Saved path for the model
features	list	Set of features
targets	list	Set of targets
algo_type	string	Algorithem type
types_map	json	Types of the features selected
project_id	string	Unique project identiication number
train_accu	float	Accuracy of the trained model (between 0-1)
dataset	json	The prediction dataset
permanent_save	bool	Indiacating whether permently saved or not
created_ts	int	Created time of the project
updated_ts	json	If updated, updated time of the project
hyper_params	json	The hyper parameters used for the model

Types

{
  "id": <string>,
  "user_id": <string>,
  "model_path":<string>,
  "features": <list>,
  "targets": <list>,
  "algo_type": <string>,
  "types_map": <json>,
  "project_id": <string>,
  "train_accu": <float>,
  "test_accu": <float>,
  "dataset": <string>,
  "permanent_save": <bool>,
  "created_ts": <datatime>,
  "updated_ts": <datatime>,
  "hyper_params": <json>
}

Sample

{
  "success": true,
  "msg": "Model trained successfully",
  "error_code": null,
  "result": {
    "score": {
      "train": 0.942446542689397,
      "test": 0.9649618042060305
    },
    "cached_in": {
      "id": "1686023662.253265",
      "user_id": "7f7c0c39-0930-43f2-81a3-29e3cffecaa4",
      "model_path": "/home/Raccoon-AI-Engine/app/storage/cached/ml/Project1-96507/7f7c0c39-0930-43f2-81a3-29e3cffecaa4/1686023662.253265.jlb",
      "features": ["R&D Spend", "Administration", "Marketing Spend", "State"],
      "targets": ["Profit"],
      "algo_type": "Multiple Linear Regressor",
      "types_map": {
        "R&D Spend": "float64",
        "Administration": "float64",
        "Marketing Spend": "float64",
        "State": "object",
        "Profit": "float64"
      },
      "project_id": "Project1-96507",
      "train_accu": 0.942446542689397,
      "test_accu": 0.9649618042060305,
      "dataset": null,
      "permanent_save": false,
      "created_ts": "2023-06-06T03:54:22.255924",
      "updated_ts": "2023-06-06T03:54:22.255929"
    }
  },
  "gen_at": "2023-06-06T03:54:22.609745"
}