Skip to content

Commit c2e17a9

Browse files
JakeRadMSFTJakeRadMSFT
committed
Fix errors in 04
1 parent 81da105 commit c2e17a9

File tree

1 file changed

+10
-48
lines changed

1 file changed

+10
-48
lines changed

‎machine-learning/04-Model Evaluation.ipynb‎

Lines changed: 10 additions & 48 deletions
Original file line numberDiff line numberDiff line change
@@ -89,22 +89,6 @@
8989
},
9090
"execution_count": 1,
9191
"metadata": {}
92-
},
93-
{
94-
"output_type": "execute_result",
95-
"data": {
96-
"text/markdown": "Loading extensions from `Microsoft.Data.Analysis.Interactive.dll`"
97-
},
98-
"execution_count": 1,
99-
"metadata": {}
100-
},
101-
{
102-
"output_type": "execute_result",
103-
"data": {
104-
"text/markdown": "Loading extensions from `Microsoft.ML.AutoML.Interactive.dll`"
105-
},
106-
"execution_count": 1,
107-
"metadata": {}
10892
}
10993
]
11094
},
@@ -204,7 +188,7 @@
204188
{
205189
"output_type": "execute_result",
206190
"data": {
207-
"text/html": "<table id=\"table_637927149236214714\"><thead><tr><th><i>index</i></th><th>vendor_id</th><th>rate_code</th><th>passenger_count</th><th>trip_time_in_secs</th><th>trip_distance</th><th>payment_type</th><th>fare_amount</th></tr></thead><tbody><tr><td><i><div class=\"dni-plaintext\">0</div></i></td><td>CMT</td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">1271</div></td><td><div class=\"dni-plaintext\">3.8</div></td><td>CRD</td><td><div class=\"dni-plaintext\">17.5</div></td></tr><tr><td><i><div class=\"dni-plaintext\">1</div></i></td><td>CMT</td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">474</div></td><td><div class=\"dni-plaintext\">1.5</div></td><td>CRD</td><td><div class=\"dni-plaintext\">8</div></td></tr><tr><td><i><div class=\"dni-plaintext\">2</div></i></td><td>CMT</td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">637</div></td><td><div class=\"dni-plaintext\">1.4</div></td><td>CRD</td><td><div class=\"dni-plaintext\">8.5</div></td></tr><tr><td><i><div class=\"dni-plaintext\">3</div></i></td><td>CMT</td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">181</div></td><td><div class=\"dni-plaintext\">0.6</div></td><td>CSH</td><td><div class=\"dni-plaintext\">4.5</div></td></tr><tr><td><i><div class=\"dni-plaintext\">4</div></i></td><td>CMT</td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">661</div></td><td><div class=\"dni-plaintext\">1.1</div></td><td>CRD</td><td><div class=\"dni-plaintext\">8.5</div></td></tr></tbody></table>"
191+
"text/html": "<table id=\"table_637928798481033298\"><thead><tr><th><i>index</i></th><th>vendor_id</th><th>rate_code</th><th>passenger_count</th><th>trip_time_in_secs</th><th>trip_distance</th><th>payment_type</th><th>fare_amount</th></tr></thead><tbody><tr><td><i><div class=\"dni-plaintext\">0</div></i></td><td>CMT</td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">1271</div></td><td><div class=\"dni-plaintext\">3.8</div></td><td>CRD</td><td><div class=\"dni-plaintext\">17.5</div></td></tr><tr><td><i><div class=\"dni-plaintext\">1</div></i></td><td>CMT</td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">474</div></td><td><div class=\"dni-plaintext\">1.5</div></td><td>CRD</td><td><div class=\"dni-plaintext\">8</div></td></tr><tr><td><i><div class=\"dni-plaintext\">2</div></i></td><td>CMT</td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">637</div></td><td><div class=\"dni-plaintext\">1.4</div></td><td>CRD</td><td><div class=\"dni-plaintext\">8.5</div></td></tr><tr><td><i><div class=\"dni-plaintext\">3</div></i></td><td>CMT</td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">181</div></td><td><div class=\"dni-plaintext\">0.6</div></td><td>CSH</td><td><div class=\"dni-plaintext\">4.5</div></td></tr><tr><td><i><div class=\"dni-plaintext\">4</div></i></td><td>CMT</td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">661</div></td><td><div class=\"dni-plaintext\">1.1</div></td><td>CRD</td><td><div class=\"dni-plaintext\">8.5</div></td></tr></tbody></table>"
208192
},
209193
"execution_count": 1,
210194
"metadata": {}
@@ -367,18 +351,9 @@
367351
}
368352
},
369353
"source": [
370-
"var result = await experiment.Run();"
354+
"var result = await experiment.RunAsync();"
371355
],
372-
"outputs": [
373-
{
374-
"output_type": "error",
375-
"ename": "",
376-
"evalue": "(1,14): error CS1061: 'TrialResult' does not contain a definition for 'GetAwaiter' and no accessible extension method 'GetAwaiter' accepting a first argument of type 'TrialResult' could be found (are you missing a using directive or an assembly reference?)",
377-
"traceback": [
378-
null
379-
]
380-
}
381-
]
356+
"outputs": []
382357
},
383358
{
384359
"cell_type": "markdown",
@@ -400,12 +375,12 @@
400375
],
401376
"outputs": [
402377
{
403-
"output_type": "error",
404-
"ename": "",
405-
"evalue": "(1,15): error CS0103: The name 'result' does not exist in the current context",
406-
"traceback": [
407-
null
408-
]
378+
"output_type": "execute_result",
379+
"data": {
380+
"text/plain": "R-Squared: 0.9464493325108942"
381+
},
382+
"execution_count": 1,
383+
"metadata": {}
409384
}
410385
]
411386
},
@@ -487,19 +462,6 @@
487462
"With ML.NET, you don't have to manually calculate the evaluation metrics for your models. ML.NET provides a built-in `Evaluate` method for each of the machine learning tasks it supports. Use the `Evaluate` method for the regression task to calculate the evaluation metrics for the test set where the `fare_amount` column is the actual value and the `Score` column is the predicted value."
488463
]
489464
},
490-
{
491-
"cell_type": "code",
492-
"execution_count": 1,
493-
"metadata": {
494-
"dotnet_interactive": {
495-
"language": "csharp"
496-
}
497-
},
498-
"source": [
499-
""
500-
],
501-
"outputs": []
502-
},
503465
{
504466
"cell_type": "code",
505467
"execution_count": 1,
@@ -961,7 +923,7 @@
961923
{
962924
"output_type": "execute_result",
963925
"data": {
964-
"text/html": "<table><thead><tr><th><i>index</i></th><th>Key</th><th>Value</th></tr></thead><tbody><tr><td>0</td><td>vendor_id.Bit2</td><td><div class=\"dni-plaintext\">-0.5100836529698106</div></td></tr><tr><td>1</td><td>vendor_id.Bit1</td><td><div class=\"dni-plaintext\">-0.2093168050110983</div></td></tr><tr><td>2</td><td>vendor_id.Bit0</td><td><div class=\"dni-plaintext\">-0.20509582275834345</div></td></tr><tr><td>3</td><td>payment_type.Bit3</td><td><div class=\"dni-plaintext\">-0.0014286018096295965</div></td></tr><tr><td>4</td><td>payment_type.Bit2</td><td><div class=\"dni-plaintext\">-0.0005391273248645708</div></td></tr><tr><td>5</td><td>payment_type.Bit1</td><td><div class=\"dni-plaintext\">-0.0001564149663926632</div></td></tr><tr><td>6</td><td>payment_type.Bit0</td><td><div class=\"dni-plaintext\">-7.393853265310242E-05</div></td></tr><tr><td>7</td><td>rate_code</td><td><div class=\"dni-plaintext\">-5.132793047627852E-07</div></td></tr><tr><td>8</td><td>passenger_count</td><td><div class=\"dni-plaintext\">0</div></td></tr><tr><td>9</td><td>trip_time_in_secs</td><td><div class=\"dni-plaintext\">0</div></td></tr><tr><td>10</td><td>trip_distance</td><td><div class=\"dni-plaintext\">0</div></td></tr></tbody></table>"
926+
"text/html": "<table><thead><tr><th><i>index</i></th><th>Key</th><th>Value</th></tr></thead><tbody><tr><td>0</td><td>vendor_id.Bit2</td><td><div class=\"dni-plaintext\">-0.5104744479840272</div></td></tr><tr><td>1</td><td>vendor_id.Bit1</td><td><div class=\"dni-plaintext\">-0.20936483057533636</div></td></tr><tr><td>2</td><td>vendor_id.Bit0</td><td><div class=\"dni-plaintext\">-0.2047232040257242</div></td></tr><tr><td>3</td><td>payment_type.Bit3</td><td><div class=\"dni-plaintext\">-0.0014248261496426033</div></td></tr><tr><td>4</td><td>payment_type.Bit2</td><td><div class=\"dni-plaintext\">-0.000539686827320122</div></td></tr><tr><td>5</td><td>payment_type.Bit1</td><td><div class=\"dni-plaintext\">-0.00015086796489605092</div></td></tr><tr><td>6</td><td>payment_type.Bit0</td><td><div class=\"dni-plaintext\">-6.684509144731325E-05</div></td></tr><tr><td>7</td><td>rate_code</td><td><div class=\"dni-plaintext\">-5.365214601112575E-07</div></td></tr><tr><td>8</td><td>passenger_count</td><td><div class=\"dni-plaintext\">0</div></td></tr><tr><td>9</td><td>trip_time_in_secs</td><td><div class=\"dni-plaintext\">0</div></td></tr><tr><td>10</td><td>trip_distance</td><td><div class=\"dni-plaintext\">0</div></td></tr></tbody></table>"
965927
},
966928
"execution_count": 1,
967929
"metadata": {}

0 commit comments

Comments
 (0)