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## Imports:
from PIL import Image
import sclblonnx as so
import numpy as np
## Creating the image difference ONNX graph:
# Start with the empty graph:
g = so.empty_graph()
@MKaptein
MKaptein / sclbl-101-tutorial.py
Last active June 20, 2020 09:51
sclbl_101_model
# Imports
import numpy as np
from sklearn.linear_model import LinearRegression
# Data generation y = 10 + 2*x1 -.5*x2 + noise:
np.random.seed(0)
n = 100
x1 = np.random.uniform(0,10,(n,))
x2 = np.random.uniform(0,10,(n,))
y = 10 + 2 * x1 -.5*x2 + np.random.normal(0,1,(n,))
@MKaptein
MKaptein / sclbl_lm_upload.py
Last active June 15, 2020 08:59
Simple linear regression to .WASM example.
# imports
import sclblpy as sp
import numpy as np
from sklearn.linear_model import LinearRegression
# generate some data:
n = 100
x = np.random.uniform(0,10,(n,))
# y = 10 + 2x + noise: