blob: 17e6b6d8dfdc1698e65196431b19ddd6bd58e5c6 [file] [log] [blame]
#-------------------------------------------------------------
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
#-------------------------------------------------------------
findBetas = function(Matrix[double] X, Matrix[double] y)
return (Matrix[double] all_betas)
{
R = matrix(0, rows=10*(ncol(X)+1), cols=5);
for (lamda in 20:39) {
#betas = multiLogReg(X=X, Y=y, maxii=0, verbose=FALSE);
betas = multiLogReg(X=X, Y=y, icpt=2, tol=0.000001,
reg=lamda, maxi=100, maxii=0, verbose=FALSE);
R[1:ncol(X)+1,] = betas;
}
all_betas = R;
}
findIcpt = function(Matrix[double] X, Matrix[double] y)
return (Matrix[double] all_betas)
{
R = matrix(0, rows=12*(ncol(X)+2), cols=5);
for (lamda in 20:29) {
for (icpt in 1:2) {
#Function level reuse of 3 out of 6 calls.
betas = multiLogReg(X=X, Y=y, icpt=icpt, tol=0.000001,
reg=lamda, maxi=100, maxii=0, verbose=FALSE);
#betas = multiLogReg(X=X, Y=y, icpt=icpt, maxii=0, verbose=FALSE);
R[1:ncol(X)+1,] = betas;
}
}
all_betas = R;
}
X = rand(rows=1000, cols=100, sparsity=1.0, seed=42);
y = rand(rows=1000, cols=1, min=0, max=6, sparsity=1.0, seed=42);
y = floor(y);
all_betas1 = findBetas(X, y);
all_betas2 = findIcpt(X, y);
while(FALSE){}
R = rbind(all_betas1, all_betas2);
write(R, $1, format="text");