def main(train_f, image_f, test_f, output_f):
rows = tsv.get_list(train_f)
for i in range(len(rows)):
# Convert to numeric, then pop the Pokemon name
rows[i] = move_tree.convert_numeric(rows[i])
rows[i].pop(0)
tree = dtree_build.buildtree(rows)
dtree_draw.drawtree(tree, labels, jpeg=image_f)
classify_pokemon(tree, test_f, output_f)
def main(train_f, image_f, test_f, output_f):
data = open(train_f)
moves = []
rows = []
# Create a 2D array to pass into the function which creates the tree
for line in data:
arr = line.rstrip().split('\t')
moves.append(arr.pop(0))
entry = convert_numeric(arr) # Convert arr into integers where appropriate
rows.append(entry)
data.close()
tree = dtree_build.buildtree(rows)
dtree_draw.drawtree(tree, labels, jpeg=image_f)
classify_moves(tree, test_f, output_f)
def main(col_names=None):
# parse command-line arguments to read the name of the input csv file
# and optional 'draw tree' parameter
if len(sys.argv) < 2: # input file name should be specified
print("Please specify input csv file name")
return
csv_file_name = sys.argv[1]
data = []
with open(csv_file_name) as csvfile:
readCSV = csv.reader(csvfile, delimiter=',')
for row in readCSV:
list = []
for attribute in row:
try:
list += [float(attribute)]
except:
list += [attribute]
data.append(list)
print("Total number of records = ", len(data))
tree = dtree_build.buildtree(data, min_gain=0.01, min_samples=5)
dtree_build.printtree(tree, '', col_names)
max_tree_depth = dtree_build.max_depth(tree)
print("max number of questions=" + str(max_tree_depth))
if len(sys.argv) > 2: # draw option specified
import dtree_draw
dtree_draw.drawtree(tree, jpeg=csv_file_name + '.jpg')
if len(sys.argv) > 3: # create json file for d3.js visualization
import json
import dtree_to_json
json_tree = dtree_to_json.dtree_to_jsontree(tree, col_names)
print(json_tree)
# create json data for d3.js interactive visualization
with open(csv_file_name + ".json", "w") as write_file:
json.dump(json_tree, write_file)
import regr_dtree
import sys
if __name__ == "__main__":
# fruits with their size and color
fruits = [[4, 'red', 'apple'], [4, 'green', 'apple'], [1, 'red', 'cherry'],
[1, 'green', 'grape'], [5, 'red', 'apple']]
tree = regr_dtree.buildtree(fruits)
regr_dtree.printtree(tree, '', ["size", "color"])
print("fruit [2, 'red'] is: ", regr_dtree.classify([2, 'red'], tree))
print("fruit [4.5, 'red'] is: ", regr_dtree.classify([4.5, 'red'], tree))
print("fruit [1.4, 'green'] is: ", regr_dtree.classify([1.4, 'green'],
tree))
max_tree_depth = regr_dtree.max_depth(tree)
print("max number of questions=" + str(max_tree_depth))
if len(sys.argv) > 1: # draw option specified
import dtree_draw
dtree_draw.drawtree(tree, jpeg='fruits_dt.jpg')
