blob: e8cd82cc1f6ee71b70d8b82680416b878330c438 [file] [log] [blame]
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import logging
from systemds.context import SystemDSContext
from systemds.examples.tutorials.mnist import DataManager
from systemds.operator.algorithm import multiLogReg, multiLogRegPredict
d = DataManager()
X = d.get_train_data().reshape((60000, 28*28))
Y = d.get_train_labels()
Xt = d.get_test_data().reshape((10000, 28*28))
Yt = d.get_test_labels()
with SystemDSContext() as sds:
# Train Data
X_ds = sds.from_numpy(X)
Y_ds = sds.from_numpy(Y) + 1.0
bias = multiLogReg(X_ds, Y_ds, maxi=30, verbose=False)
# Test data
Xt_ds = sds.from_numpy(Xt)
Yt_ds = sds.from_numpy(Yt) + 1.0
[m, y_pred, acc] = multiLogRegPredict(Xt_ds, bias, Y=Yt_ds, verbose=False).compute()
logging.info(acc)