Added a model abstraction and a GBM implementation.
:flashlight: Testing Instructions
You may need to run python3 pipeline.py Xz3btMhdQ6Y to get your training data for this.
import numpy as np
from app.predict import GBM
X = np.load('app/collector/Xz3btMhdQ6Y/Xz3btMhdQ6Y-features.npy')
y = np.load('app/collector/Xz3btMhdQ6Y/Xz3btMhdQ6Y-labels.npy')
model = GBM()
model.train(X, y)
print(model.predict(X))
:hourglass: Status: Work in Progress
:tickets: Ticket(s): #71
:construction_worker: Changes
:flashlight: Testing Instructions
You may need to run
python3 pipeline.py Xz3btMhdQ6Y
to get your training data for this.:hourglass: Status: Work in Progress :tickets: Ticket(s): #71