MC3-Homework-1 - Revision history

Tucker: /* Rubric */

2017-06-13T14:34:49Z

Rubric

2017-06-06T01:20:41Z

Removing draft notice, as nothing is changed

2017-05-19T23:05:00Z

Updates / FAQs

2017-03-21T18:47:06Z

Rubric

2017-03-20T17:14:08Z

Rubric

2017-03-20T17:12:27Z

Updates / FAQs

2017-03-20T17:11:52Z

Draft

2017-03-17T01:02:14Z

Required, Allowed & Prohibited

2017-03-17T01:01:31Z

Rubric

2017-03-17T00:59:22Z

Generate your own datasets

@@ Line 49: / Line 49: @@
 * Does either dataset returned contain fewer or more than the allowed number of samples? -20% each.
 * Does either dataset returned contain fewer or more than the allowed number of dimensions in X? -20% each.
-* When the seed is the same does the best4LinReg dataset generator return the same data? -20%.
+* When the seed is the same does the best4LinReg dataset generator return the same data? -20% otherwise.
-* When the seed is the same does the best4RT dataset generator return the same data? -20%.
+* When the seed is the same does the best4RT dataset generator return the same data? -20% otherwise.
-* When the seed is different does the best4LinReg dataset generator return different data? -20%.
+* When the seed is different does the best4LinReg dataset generator return different data? -20% otherwise.
-* When the seed is different does the best4RT dataset generator return different data? -20%.
+* When the seed is different does the best4RT dataset generator return different data? -20% otherwise.
 For best4LinReg:

← Older revision		Revision as of 01:20, 6 June 2017
Line 1:		Line 1:
−	~~==DRAFT==~~
−
−	~~This assignment is under revision. This notice will be removed once it is final.~~

	==Updates / FAQs==		==Updates / FAQs==

← Older revision		Revision as of 23:05, 19 May 2017
Line 1:		Line 1:
		+	==DRAFT==
		+
		+	This assignment is under revision. This notice will be removed once it is final.
		+
	==Updates / FAQs==		==Updates / FAQs==

@@ Line 48: / Line 48: @@
 * Does either dataset returned contain fewer or more than the allowed number of samples? -20% each.
 * Does either dataset returned contain fewer or more than the allowed number of dimensions in X? -20% each.
-* When the seed is the same does the dataset generator return the same data? -20% each.
+* When the seed is the same does the best4LinReg dataset generator return the same data? -20%.
-* When the seed is different does the dataset generator return different data? -20% each.
+* When the seed is the same does the best4RT dataset generator return the same data? -20%.
 For best4LinReg:

@@ Line 48: / Line 48: @@
 * Does either dataset returned contain fewer or more than the allowed number of samples? -20% each.
 * Does either dataset returned contain fewer or more than the allowed number of dimensions in X? -20% each.
-* When the seed is the same do both dataset generators return the same data? -20% each.
+* When the seed is the same does the dataset generator return the same data? -20% each.
-* When the seed is different do both dataset generators return different data? -20% each.
+* When the seed is different does the dataset generator return different data? -20% each.
 For best4LinReg:

← Older revision		Revision as of 17:12, 20 March 2017
Line 2:		Line 2:

	* '''March 15, 2017''' API revised to include random number seed.		* '''March 15, 2017''' API revised to include random number seed.
		+	* '''March 20, 2017''' Homework description finalized and released..

	==Overview==		==Overview==

@@ Line 87: / Line 87: @@
 * Code that includes any data reading routines.  The provided testlearner.py code reads data for you.
 * Code that generates any output when verbose = False: No prints, no charts, etc.
 ==Legacy==
 [[MC3-Homework-1-legacy]]

@@ Line 29: / Line 29: @@
   X2, Y2 = best4RT(seed = 5)
-* ''seed'' Your data generation should use a random number generator as part of its data generation process.  We will pass your generators a random number seed.  Whenever the seed is the same you should return exactly the same data set.  Different seeds should result in different data sets.
+* '''seed''' Your data generation should use a random number generator as part of its data generation process.  We will pass your generators a random number seed.  Whenever the seed is the same you should return exactly the same data set.  Different seeds should result in different data sets.
 best4LinReg() should return data that performs significantly better (see rubric) with LinRegLearner than RTLearner.  best4RT() should return data that performs significantly better with RTLearner than LinRegLearner.