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Rebuilt the docs
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@paxcema
paxcema committed May 15, 2024
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136 changes: 68 additions & 68 deletions _sources/tutorials/custom_cleaner/custom_cleaner.ipynb.txt
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Original file line number Diff line number Diff line change
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"id": "happy-wheat",
"metadata": {
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"text": [
"\u001b[32mINFO:lightwood-2859:No torchvision detected, image helpers not supported.\u001b[0m\n"
"\u001b[32mINFO:lightwood-2730:No torchvision detected, image helpers not supported.\u001b[0m\n"
]
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{
"name": "stderr",
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"text": [
"\u001b[32mINFO:lightwood-2859:No torchvision/pillow detected, image encoder not supported\u001b[0m\n"
"\u001b[32mINFO:lightwood-2730:No torchvision/pillow detected, image encoder not supported\u001b[0m\n"
]
}
],
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"id": "recognized-parish",
"metadata": {
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Expand Down Expand Up @@ -221,109 +221,109 @@
"id": "chicken-truth",
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{
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"text": [
"\u001b[32mINFO:lightwood-2859:Dropping features: ['url_legal', 'license', 'standard_error']\u001b[0m\n"
"\u001b[32mINFO:lightwood-2730:Dropping features: ['url_legal', 'license', 'standard_error']\u001b[0m\n"
]
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"name": "stderr",
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"\u001b[32mINFO:type_infer-2859:Analyzing a sample of 2478\u001b[0m\n"
"\u001b[32mINFO:type_infer-2730:Analyzing a sample of 2478\u001b[0m\n"
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"\u001b[32mINFO:type_infer-2859:from a total population of 2834, this is equivalent to 87.4% of your data.\u001b[0m\n"
"\u001b[32mINFO:type_infer-2730:from a total population of 2834, this is equivalent to 87.4% of your data.\u001b[0m\n"
]
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"text": [
"\u001b[32mINFO:type_infer-2859:Infering type for: id\u001b[0m\n"
"\u001b[32mINFO:type_infer-2730:Infering type for: id\u001b[0m\n"
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"\u001b[32mINFO:type_infer-2859:Doing text detection for column: id\u001b[0m\n"
"\u001b[32mINFO:type_infer-2730:Doing text detection for column: id\u001b[0m\n"
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"\u001b[32mINFO:type_infer-2859:Column id has data type categorical\u001b[0m\n"
"\u001b[32mINFO:type_infer-2730:Column id has data type categorical\u001b[0m\n"
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"\u001b[32mINFO:type_infer-2859:Infering type for: excerpt\u001b[0m\n"
"\u001b[32mINFO:type_infer-2730:Infering type for: excerpt\u001b[0m\n"
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"\u001b[32mINFO:type_infer-2859:Doing text detection for column: excerpt\u001b[0m\n"
"\u001b[32mINFO:type_infer-2730:Doing text detection for column: excerpt\u001b[0m\n"
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"\u001b[32mINFO:type_infer-2859:Infering type for: target\u001b[0m\n"
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"\u001b[32mINFO:type_infer-2859:Column target has data type float\u001b[0m\n"
"\u001b[32mINFO:type_infer-2730:Column target has data type float\u001b[0m\n"
]
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"name": "stderr",
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"text": [
"\u001b[33mWARNING:type_infer-2859:Column id is an identifier of type \"Hash-like identifier\"\u001b[0m\n"
"\u001b[33mWARNING:type_infer-2730:Column id is an identifier of type \"Hash-like identifier\"\u001b[0m\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[32mINFO:dataprep_ml-2859:Starting statistical analysis\u001b[0m\n"
"\u001b[32mINFO:dataprep_ml-2730:Starting statistical analysis\u001b[0m\n"
]
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"\u001b[32mINFO:dataprep_ml-2859:Dropping features: ['id']\u001b[0m\n"
"\u001b[32mINFO:dataprep_ml-2730:Dropping features: ['id']\u001b[0m\n"
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"\u001b[32mINFO:dataprep_ml-2859:Finished statistical analysis\u001b[0m\n"
"\u001b[32mINFO:dataprep_ml-2730:Finished statistical analysis\u001b[0m\n"
]
}
],
Expand Down Expand Up @@ -360,10 +360,10 @@
"id": "designed-condition",
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"outputs": [
Expand Down Expand Up @@ -434,7 +434,7 @@
" \"unbias_target\": true,\n",
" \"seconds_per_mixer\": 21384.0,\n",
" \"seconds_per_encoder\": 85536.0,\n",
" \"expected_additional_time\": 15.375571012496948,\n",
" \"expected_additional_time\": 15.526203870773315,\n",
" \"time_aim\": 259200,\n",
" \"target_weights\": null,\n",
" \"positive_domain\": false,\n",
Expand Down Expand Up @@ -518,10 +518,10 @@
"id": "325d8f1b",
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Expand Down Expand Up @@ -646,10 +646,10 @@
"id": "f030f8ca",
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}
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"outputs": [],
Expand Down Expand Up @@ -711,10 +711,10 @@
"id": "floating-patent",
"metadata": {
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"outputs": [
Expand Down Expand Up @@ -795,7 +795,7 @@
" \"unbias_target\": True,\n",
" \"seconds_per_mixer\": 21384.0,\n",
" \"seconds_per_encoder\": 85536.0,\n",
" \"expected_additional_time\": 15.375571012496948,\n",
" \"expected_additional_time\": 15.526203870773315,\n",
" \"time_aim\": 259200,\n",
" \"target_weights\": None,\n",
" \"positive_domain\": False,\n",
Expand Down Expand Up @@ -1452,10 +1452,10 @@
"id": "violent-guard",
"metadata": {
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"outputs": [],
Expand All @@ -1470,10 +1470,10 @@
"id": "closing-episode",
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"scrolled": false
},
Expand All @@ -1482,70 +1482,70 @@
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[32mINFO:dataprep_ml-2859:Starting statistical analysis\u001b[0m\n"
"\u001b[32mINFO:dataprep_ml-2730:Starting statistical analysis\u001b[0m\n"
]
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"text": [
"\u001b[32mINFO:dataprep_ml-2859:Dropping features: ['id']\u001b[0m\n"
"\u001b[32mINFO:dataprep_ml-2730:Dropping features: ['id']\u001b[0m\n"
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"name": "stderr",
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"text": [
"\u001b[32mINFO:dataprep_ml-2859:Finished statistical analysis\u001b[0m\n"
"\u001b[32mINFO:dataprep_ml-2730:Finished statistical analysis\u001b[0m\n"
]
},
{
"name": "stderr",
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"text": [
"\u001b[37mDEBUG:lightwood-2859: `analyze_data` runtime: 0.05 seconds\u001b[0m\n"
"\u001b[37mDEBUG:lightwood-2730: `analyze_data` runtime: 0.05 seconds\u001b[0m\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[32mINFO:dataprep_ml-2859:Cleaning the data\u001b[0m\n"
"\u001b[32mINFO:dataprep_ml-2730:Cleaning the data\u001b[0m\n"
]
},
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"name": "stderr",
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"\u001b[32mINFO:dataprep_ml-2859:Dropping features: ['id']\u001b[0m\n"
"\u001b[32mINFO:dataprep_ml-2730:Dropping features: ['id']\u001b[0m\n"
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},
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"name": "stderr",
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"text": [
"\u001b[32mINFO:lightwood-2859:Cleaning column =excerpt\u001b[0m\n"
"\u001b[32mINFO:lightwood-2730:Cleaning column =excerpt\u001b[0m\n"
]
},
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"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[32mINFO:lightwood-2859:Cleaning column =target\u001b[0m\n"
"\u001b[32mINFO:lightwood-2730:Cleaning column =target\u001b[0m\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[32mINFO:lightwood-2859:Converted target into strictly non-negative\u001b[0m\n"
"\u001b[32mINFO:lightwood-2730:Converted target into strictly non-negative\u001b[0m\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[37mDEBUG:lightwood-2859: `preprocess` runtime: 0.08 seconds\u001b[0m\n"
"\u001b[37mDEBUG:lightwood-2730: `preprocess` runtime: 0.07 seconds\u001b[0m\n"
]
},
{
Expand Down Expand Up @@ -1635,10 +1635,10 @@
"id": "major-stake",
"metadata": {
"execution": {
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}
},
"outputs": [
Expand Down
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