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Rebuilt the docs
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@paxcema
paxcema committed Mar 18, 2024
1 parent e5c057e commit 21882c9
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Showing 25 changed files with 4,490 additions and 4,270 deletions.
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": {
"execution": {
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{
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"text": [
"\u001b[32mINFO:lightwood-2632:No torchvision detected, image helpers not supported.\u001b[0m\n"
"\u001b[32mINFO:lightwood-2806:No torchvision detected, image helpers not supported.\u001b[0m\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[32mINFO:lightwood-2632:No torchvision/pillow detected, image encoder not supported\u001b[0m\n"
"\u001b[32mINFO:lightwood-2806:No torchvision/pillow detected, image encoder not supported\u001b[0m\n"
]
}
],
Expand Down Expand Up @@ -87,10 +87,10 @@
"id": "recognized-parish",
"metadata": {
"execution": {
"iopub.execute_input": "2024-03-18T10:32:06.801294Z",
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Expand Down Expand Up @@ -221,109 +221,109 @@
"id": "chicken-truth",
"metadata": {
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{
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"output_type": "stream",
"text": [
"\u001b[32mINFO:lightwood-2632:Dropping features: ['url_legal', 'license', 'standard_error']\u001b[0m\n"
"\u001b[32mINFO:lightwood-2806:Dropping features: ['url_legal', 'license', 'standard_error']\u001b[0m\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[32mINFO:type_infer-2632:Analyzing a sample of 2478\u001b[0m\n"
"\u001b[32mINFO:type_infer-2806:Analyzing a sample of 2478\u001b[0m\n"
]
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"text": [
"\u001b[32mINFO:type_infer-2632:from a total population of 2834, this is equivalent to 87.4% of your data.\u001b[0m\n"
"\u001b[32mINFO:type_infer-2806:from a total population of 2834, this is equivalent to 87.4% of your data.\u001b[0m\n"
]
},
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"output_type": "stream",
"text": [
"\u001b[32mINFO:type_infer-2632:Infering type for: id\u001b[0m\n"
"\u001b[32mINFO:type_infer-2806:Infering type for: id\u001b[0m\n"
]
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"\u001b[32mINFO:type_infer-2632:Doing text detection for column: id\u001b[0m\n"
"\u001b[32mINFO:type_infer-2806:Doing text detection for column: id\u001b[0m\n"
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"\u001b[32mINFO:type_infer-2632:Column id has data type categorical\u001b[0m\n"
"\u001b[32mINFO:type_infer-2806:Column id has data type categorical\u001b[0m\n"
]
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"\u001b[32mINFO:type_infer-2632:Infering type for: excerpt\u001b[0m\n"
"\u001b[32mINFO:type_infer-2806:Infering type for: excerpt\u001b[0m\n"
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"\u001b[32mINFO:type_infer-2632:Doing text detection for column: excerpt\u001b[0m\n"
"\u001b[32mINFO:type_infer-2806:Doing text detection for column: excerpt\u001b[0m\n"
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"text": [
"\u001b[32mINFO:type_infer-2632:Infering type for: target\u001b[0m\n"
"\u001b[32mINFO:type_infer-2806:Infering type for: target\u001b[0m\n"
]
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"output_type": "stream",
"text": [
"\u001b[32mINFO:type_infer-2632:Column target has data type float\u001b[0m\n"
"\u001b[32mINFO:type_infer-2806:Column target has data type float\u001b[0m\n"
]
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"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[33mWARNING:type_infer-2632:Column id is an identifier of type \"Hash-like identifier\"\u001b[0m\n"
"\u001b[33mWARNING:type_infer-2806:Column id is an identifier of type \"Hash-like identifier\"\u001b[0m\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[32mINFO:dataprep_ml-2632:Starting statistical analysis\u001b[0m\n"
"\u001b[32mINFO:dataprep_ml-2806:Starting statistical analysis\u001b[0m\n"
]
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"output_type": "stream",
"text": [
"\u001b[32mINFO:dataprep_ml-2632:Dropping features: ['id']\u001b[0m\n"
"\u001b[32mINFO:dataprep_ml-2806:Dropping features: ['id']\u001b[0m\n"
]
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{
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"output_type": "stream",
"text": [
"\u001b[32mINFO:dataprep_ml-2632:Finished statistical analysis\u001b[0m\n"
"\u001b[32mINFO:dataprep_ml-2806:Finished statistical analysis\u001b[0m\n"
]
}
],
Expand Down Expand Up @@ -360,10 +360,10 @@
"id": "designed-condition",
"metadata": {
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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\": 15.30086874961853,\n",
" \"expected_additional_time\": 15.644360542297363,\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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"outputs": [
Expand Down Expand Up @@ -646,10 +646,10 @@
"id": "f030f8ca",
"metadata": {
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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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"iopub.execute_input": "2024-03-18T10:32:23.139665Z",
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}
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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\": 15.30086874961853,\n",
" \"expected_additional_time\": 15.644360542297363,\n",
" \"time_aim\": 259200,\n",
" \"target_weights\": None,\n",
" \"positive_domain\": False,\n",
Expand Down Expand Up @@ -1449,10 +1449,10 @@
"id": "violent-guard",
"metadata": {
"execution": {
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}
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"outputs": [],
Expand All @@ -1467,10 +1467,10 @@
"id": "closing-episode",
"metadata": {
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"scrolled": false
},
Expand All @@ -1479,70 +1479,70 @@
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[32mINFO:dataprep_ml-2632:Starting statistical analysis\u001b[0m\n"
"\u001b[32mINFO:dataprep_ml-2806:Starting statistical analysis\u001b[0m\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[32mINFO:dataprep_ml-2632:Dropping features: ['id']\u001b[0m\n"
"\u001b[32mINFO:dataprep_ml-2806:Dropping features: ['id']\u001b[0m\n"
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"name": "stderr",
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"text": [
"\u001b[32mINFO:dataprep_ml-2632:Finished statistical analysis\u001b[0m\n"
"\u001b[32mINFO:dataprep_ml-2806:Finished statistical analysis\u001b[0m\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[37mDEBUG:lightwood-2632: `analyze_data` runtime: 0.05 seconds\u001b[0m\n"
"\u001b[37mDEBUG:lightwood-2806: `analyze_data` runtime: 0.05 seconds\u001b[0m\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[32mINFO:dataprep_ml-2632:Cleaning the data\u001b[0m\n"
"\u001b[32mINFO:dataprep_ml-2806:Cleaning the data\u001b[0m\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[32mINFO:dataprep_ml-2632:Dropping features: ['id']\u001b[0m\n"
"\u001b[32mINFO:dataprep_ml-2806:Dropping features: ['id']\u001b[0m\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[32mINFO:lightwood-2632:Cleaning column =excerpt\u001b[0m\n"
"\u001b[32mINFO:lightwood-2806:Cleaning column =excerpt\u001b[0m\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[32mINFO:lightwood-2632:Cleaning column =target\u001b[0m\n"
"\u001b[32mINFO:lightwood-2806:Cleaning column =target\u001b[0m\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[32mINFO:lightwood-2632:Converted target into strictly non-negative\u001b[0m\n"
"\u001b[32mINFO:lightwood-2806:Converted target into strictly non-negative\u001b[0m\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[37mDEBUG:lightwood-2632: `preprocess` runtime: 0.07 seconds\u001b[0m\n"
"\u001b[37mDEBUG:lightwood-2806: `preprocess` runtime: 0.08 seconds\u001b[0m\n"
]
},
{
Expand Down Expand Up @@ -1632,10 +1632,10 @@
"id": "major-stake",
"metadata": {
"execution": {
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"shell.execute_reply": "2024-03-18T12:14:03.457734Z"
}
},
"outputs": [
Expand Down
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