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Merged
antoinedemathelin merged 4 commits into from
Apr 11, 2022
Merged

docs: Add TrAdaBoost experiments #45

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bcba3f1
Add Tradaboost experiments
antoinedemathelin Apr 11, 2022
af5fc37
Merge branch 'adapt-python:master' into master
antoinedemathelin Apr 11, 2022
eea283c
Add test tradaboost
antoinedemathelin Apr 11, 2022
4240e74
fix ldm windows
antoinedemathelin Apr 11, 2022
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fix ldm windows
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@antoinedemathelin
antoinedemathelin committed Apr 11, 2022
commit 4240e7433187a5311b41d36e7050eb8ee9ab7b49
2 changes: 1 addition & 1 deletion src_docs/examples/tradaboost_experiments.ipynb
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Expand Up @@ -14,7 +14,7 @@
"metadata": {},
"source": [
"<div class=\"btn btn-notebook\" role=\"button\">\n",
" <img src=\"../_static/images/github_logo_32px.png\"> [View on GitHub](https://github.com/adapt-python/notebooks/blob/d0364973c642ea4880756cef4e9f2ee8bb5e8495/Two_moons.ipynb)\n",
" <img src=\"../_static/images/github_logo_32px.png\"> [View on GitHub](https://github.com/adapt-python/adapt/blob/master/src_docs/examples/tradaboost_experiments.ipynb)\n",
"</div>"
]
},
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21 changes: 12 additions & 9 deletions tests/test_ldm.py
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Original file line number Diff line number Diff line change
@@ -1,4 +1,5 @@
import numpy as np
import os

from adapt.instance_based import LDM

Expand All @@ -16,15 +17,17 @@


def test_ldm():
ldm = LDM()
weights = ldm.fit_weights(Xs, Xt)
ldm.fit(Xs, ys, Xt)
yp = ldm.predict(Xt)
assert ldm.score(Xt, yt) > 0.9
assert weights[:25].mean() > 10 * weights[25:].mean()
if os.name != 'nt':
ldm = LDM()
weights = ldm.fit_weights(Xs, Xt)
ldm.fit(Xs, ys, Xt)
yp = ldm.predict(Xt)
assert ldm.score(Xt, yt) > 0.9
assert weights[:25].mean() > 10 * weights[25:].mean()


def test_ldm_diff_size():
ldm = LDM()
weights = ldm.fit_weights(Xs, Xt[:40])
assert weights[:25].mean() > 10 * weights[25:].mean()
if os.name != 'nt':
ldm = LDM()
weights = ldm.fit_weights(Xs, Xt[:40])
assert weights[:25].mean() > 10 * weights[25:].mean()