sync cont. learner
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parent
d0999a2fc9
commit
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@ -145,7 +145,7 @@
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{
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{
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"data": {
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "31e69854333f4c599b037b6c27f30f20",
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"model_id": "ef207b9276fc4a84b46053e7d979f2a2",
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"version_major": 2,
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"version_major": 2,
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"version_minor": 0
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"version_minor": 0
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},
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},
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@ -692,6 +692,36 @@
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"sdm"
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"sdm"
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]
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]
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},
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"metadata": {},
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"outputs": [
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{
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"ename": "AttributeError",
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"evalue": "'NoneType' object has no attribute 'pipeline'",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)",
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"\u001b[0;32m<ipython-input-12-beaf1df9153b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mv\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpipeline\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnamed_steps\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'vectorizer'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtransform\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"I am sad\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
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"\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'pipeline'"
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]
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}
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],
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"source": [
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"v = pm.pipeline.named_steps['vectorizer'].transform([\"I am sad\"])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"pm.pipeline.named_steps['keras_model'].predict([v])"
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]
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": null,
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"execution_count": null,
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