Spring 2020 Project 4: Defeat Learners - Revision history

Jfox44: /* Due Date */

2020-01-19T15:55:22Z

Due Date

Jfox44 at 15:53, 19 January 2020

2020-01-19T15:53:35Z

Jfox44: /* Implement Functions */

2020-01-13T02:14:37Z

Implement Functions

Jfox44: /* Auto-Grading */

2020-01-13T02:13:24Z

Auto-Grading

Jfox44: /* Required, Allowed & Prohibited */

2020-01-13T02:11:38Z

Required, Allowed & Prohibited

Jfox44: /* Required, Allowed & Prohibited */

2020-01-13T02:10:18Z

Required, Allowed & Prohibited

Jfox44: /* Auto-Grading */

2020-01-13T02:10:01Z

Auto-Grading

Jfox44: /* Auto-Grading */

2020-01-13T02:09:42Z

Auto-Grading

Jfox44: /* Rubric */

2020-01-13T02:08:36Z

Rubric

Jfox44 at 02:07, 13 January 2020

2020-01-13T02:07:54Z

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 ==Due Date==
-/23/2020 11:59PM Anywhere on Earth time
+/23/2020 11:59PM [https://www.timeanddate.com/time/zones/aoe Anywhere on Earth time]
 ==Revisions==

← Older revision		Revision as of 15:53, 19 January 2020
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		+	==Due Date==
		+
		+	02/23/2020 11:59PM Anywhere on Earth time
		+
	==Revisions==		==Revisions==

@@ Line 25: / Line 25: @@
 ==Tasks==
-===Implement Functions===
+===Implement Dataset Functions===
 Create a Python program called gen_data.py that implements two functions.  The two functions should be named as follows, and support the following API:

@@ Line 71: / Line 71: @@
 ==Rubric==
-===Auto-Grading===
+===Auto-Grading (100 points)===
 Deductions:

@@ Line 99: / Line 99: @@
 * Your project must be coded in Python 3.6.x.
 * Your code must run on one of the university-provided computers (e.g. buffet01.cc.gatech.edu), or on one of the provided virtual images.
-* Your code must run in less than 5 seconds on one of the university-provided computers.
+* Your code must run in less than 5 seconds per test case on one of the university-provided computers.
 * The code you submit should NOT include any data reading routines.  You should generate all of your data within your functions.
 * The code you submit should NOT generate any output: No prints, no charts, etc.

← Older revision		Revision as of 02:10, 13 January 2020
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	==Required, Allowed & Prohibited==		==Required, Allowed & Prohibited==
		+
		+	Required:
		+	* No reading of data from files.
		+	* Your project must be coded in Python 3.6.x.
		+	* Your code must run on one of the university-provided computers (e.g. buffet01.cc.gatech.edu), or on one of the provided virtual images.
		+	* Your code must run in less than 5 seconds on one of the university-provided computers.
		+	* The code you submit should NOT include any data reading routines. You should generate all of your data within your functions.
		+	* The code you submit should NOT generate any output: No prints, no charts, etc.
		+
		+	Allowed:
		+	* You can develop your code on your personal machine, but it must also run successfully on one of the university provided machines or virtual images.
		+	* Your code may use standard Python libraries.
		+	* You may use the NumPy, SciPy, matplotlib and Pandas libraries. Be sure you are using the correct versions.
		+	* Code provided by the instructor, or allowed by the instructor to be shared.
		+	* Cheese.
		+
		+	Prohibited:
		+	* Any reading of data files.
		+	* Any libraries not listed in the "allowed" section above.
		+	* Any code you did not write yourself.
		+	* Any Classes (other than Random) that create their own instance variables for later use (e.g., learners like kdtree).
		+	* 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.
		+	* Ducks and wood.

@@ Line 80: / Line 80: @@
 * When the seed is different does the best4LinReg dataset generator return different data? (-20 points otherwise)
 * When the seed is different does the best4DT dataset generator return different data? (-20 points otherwise)
-* Is the author() method implemented? -10 points if not.
+* Is the author() method implemented? (-10 points if not)
-* Does the code attempt to import a learner? -10 points if so.
+* Does the code attempt to import a learner? (-10 points if so)
 For best4LinReg (1 test case):

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 Deductions:
-* Does either dataset returned contain fewer or more than the allowed number of samples? -20 points each.
+* Does either dataset returned contain fewer or more than the allowed number of samples? (-20 points each)
-* Does either dataset returned contain fewer or more than the allowed number of dimensions in X? -20 points each.
+* Does either dataset returned contain fewer or more than the allowed number of dimensions in X? (-20 points each)
-* When the seed is the same does the best4LinReg dataset generator return the same data? -20 points otherwise.
+* When the seed is the same does the best4LinReg dataset generator return the same data? (-20 points otherwise)
-* When the seed is the same does the best4DT dataset generator return the same data? -20 points otherwise.
+* When the seed is the same does the best4DT dataset generator return the same data? (-20 points otherwise)
-* When the seed is different does the best4LinReg dataset generator return different data? -20 points otherwise.
+* When the seed is different does the best4LinReg dataset generator return different data? (-20 points otherwise)
-* When the seed is different does the best4DT dataset generator return different data? -20 points otherwise.
+* When the seed is different does the best4DT dataset generator return different data? (-20 points otherwise)
 * Is the author() method implemented? -10 points if not.
 * Does the code attempt to import a learner? -10 points if so.

← Older revision		Revision as of 02:07, 13 January 2020
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	Implementing this method correctly does not provide any points, but there will be a penalty for not implementing it.		Implementing this method correctly does not provide any points, but there will be a penalty for not implementing it.
−
−	~~==What to turn in==~~

	==What to turn in==		==What to turn in==