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automl notebook update

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rastala
2018-11-21 20:45:17 -05:00
parent 7bb906b53c
commit 05713689e0
2 changed files with 6 additions and 6 deletions
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6
automl/13a.auto-ml-dataprep.ipynb
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@@ -110,10 +110,10 @@
"metadata": {},
"outputs": [],
"source": [
"# You can use `smart_read_file` which intelligently figures out delimiters and datatypes of a file.\n",
"# You can use `auto_read_file` which intelligently figures out delimiters and datatypes of a file.\n",
"# The data referenced here was pulled from `sklearn.datasets.load_digits()`.\n",
"simple_example_data_root = 'https://dprepdata.blob.core.windows.net/automl-notebook-data/'\n",
"X = dprep.smart_read_file(simple_example_data_root + 'X.csv').skip(1) # Remove the header row.\n",
"X = dprep.auto_read_file(simple_example_data_root + 'X.csv').skip(1) # Remove the header row.\n",
"\n",
"# You can also use `read_csv` and `to_*` transformations to read (with overridable delimiter)\n",
"# and convert column types manually.\n",
@@ -394,7 +394,7 @@
"outputs": [],
"source": [
"# sklearn.digits.data + target\n",
"digits_complete = dprep.smart_read_file('https://dprepdata.blob.core.windows.net/automl-notebook-data/digits-complete.csv')"
"digits_complete = dprep.auto_read_file('https://dprepdata.blob.core.windows.net/automl-notebook-data/digits-complete.csv')"
]
},
{

6
automl/13b.auto-ml-dataprep-remote-execution.ipynb
View File

@@ -112,10 +112,10 @@
"metadata": {},
"outputs": [],
"source": [
"# You can use `smart_read_file` which intelligently figures out delimiters and datatypes of a file.\n",
"# You can use `auto_read_file` which intelligently figures out delimiters and datatypes of a file.\n",
"# The data referenced here was pulled from `sklearn.datasets.load_digits()`.\n",
"simple_example_data_root = 'https://dprepdata.blob.core.windows.net/automl-notebook-data/'\n",
"X = dprep.smart_read_file(simple_example_data_root + 'X.csv').skip(1) # Remove the header row.\n",
"X = dprep.auto_read_file(simple_example_data_root + 'X.csv').skip(1) # Remove the header row.\n",
"\n",
"# You can also use `read_csv` and `to_*` transformations to read (with overridable delimiter)\n",
"# and convert column types manually.\n",
@@ -443,7 +443,7 @@
"outputs": [],
"source": [
"# sklearn.digits.data + target\n",
"digits_complete = dprep.smart_read_file('https://dprepdata.blob.core.windows.net/automl-notebook-data/digits-complete.csv')"
"digits_complete = dprep.auto_read_file('https://dprepdata.blob.core.windows.net/automl-notebook-data/digits-complete.csv')"
]
},
{