davidandrzej

"""
Visualize points on the 3-simplex (eg, the parameters of a
3-dimensional multinomial distributions) as a scatter plot 
contained within a 2D triangle.

David Andrzejewski ([email protected])
"""
import numpy as NP
import matplotlib.pyplot as P
import matplotlib.ticker as MT

davidandrzej

"""
Simple matrix intensity plot, similar to MATLAB imagesc()

David Andrzejewski ([email protected])
"""
import numpy as NP
import matplotlib.pyplot as P
import matplotlib.ticker as MT
import matplotlib.cm as CM

davidandrzej

"""
Visualization of matrix block structure
(eg, pairwise similarity or co-occurrence)

Requires scaledimage.py for intensity plots

David Andrzejewski
"""
import numpy as NP
import matplotlib.pyplot as P

davidandrzej

"""
Example blockviz usage with synthetic generated data

Requires scaledimage.py and blockviz.py

David Andrzejewski
"""
import numpy as NP
import numpy.random as NPR

davidandrzej

"""
Augment scatter plot with linear regression fit 

David Andrzejewski
"""
import numpy as NP
import numpy.random as NPR
import matplotlib.pyplot as P
import matplotlib.lines as L
from scikits.learn.linear_model import LinearRegression

davidandrzej

;; Assumes examples are Clojure maps, 
;; for example from clojure.contrib.sql
;;
;; {:eyecolor "brown" :heightmeters 1.7 ...}
;; {:eyecolor "blue" :heightmeters 1.5 ...}
;;
;; (def eye-encoder (discrete-feature-encoder :eyecolor myexamples))
;;
(defn discrete-feature
  "Create binary 1-of-N encoding of a discrete feature"

davidandrzej

; MaxWalkSAT weighted satisfiability solver 
;
; A General Stochastic Approach to Solving Problems with Hard and Soft
; Constraints Henry Kautz, Bart Selman, and Yueyen Jiang. In The
; Satisfiability Problem: Theory and Applications, Dingzhu Gu, Jun Du,
; and Panos Pardalos (Eds.), DIMACS Series in Discrete Mathematics and
; Theoretical Computer Science, vol. 35, American Mathematical Society,
; 1997, pages 573-586.
;
;

davidandrzej

; Standard k nearest neighbors classifier 
; Does not handle 
;   > 2 classes
;   even values of k
;   any bad input, really
;
; David Andrzejewski ([email protected])
;
; Command-line arguments
; 0 training data filename 

davidandrzej

; Calculate lines of code contained in a given directory
; -ignores empty lines
; -ignores comment-only lines
; -does *not* ignore block comments 
;
; David Andrzejewski ([email protected])
;
; Command-line arguments
; 0 Code root directory 
;

davidandrzej

""" 
Handful of tricks for making a print-friendly plot 
David Andrzejewski
"""
import matplotlib as MPL
import matplotlib.pyplot as P

# Have plots be the exact same size
MPL.rc('figure', figsize=(14, 11)) # figure size in inches