dataspelunking / mlwr Goto Github PK

For example on https://github.com/dataspelunking/MLwR/blob/master/Machine%20Learning%20with%20R%20(2nd%20Ed.)/Chapter%2004/sms_spam.csv#L79

Allo! We have braved the buses and taken on the trains and triumphed. I mean we€˜re in b€˜ham. Have a jolly good rest of week

Should be

Allo! We have braved the buses and taken on the trains and triumphed. I mean we're in b'ham. Have a jolly good rest of week

There's a few issues like this. Would you accept a PR to fix them?

With R 3.5.3 running caret 6.0-84. The chunk of code below (around line 61 on GITHUB)

library(ipred)
library(caret)

set.seed(300)

ctrl <- trainControl(method = "cv", number = 10)

bagctrl <- bagControl(fit = svmBag$fit,
                      predict = svmBag$pred,
                      aggregate = svmBag$aggregate)

svmbag <- train(default ~ ., data = credit, "bag",
                trControl = ctrl, bagControl = bagctrl)

throws this warning 10 times:

10: model fit failed for Fold10: vars=35 Error in fitter(btSamples[[iter]], x = x, y = y, ctrl = bagControl, v = vars,  : 
  task 1 failed - "no applicable method for 'predict' applied to an object of class "c('ksvm', 'vm')""

Then this

11: In nominalTrainWorkflow(x = x, y = y, wts = weights, info = trainInfo,  ... :
  There were missing values in resampled performance measures.

Help....

I am trying to replicate the output on page 216. When I run:

m.m5p <- M5P(quality ~ ., data = wine_train)

I get this mess in my log:
Aug 20, 2019 9:19:10 AM com.github.fommil.netlib.BLAS
WARNING: Failed to load implementation from: com.github.fommil.netlib.NativeSystemBLAS
Aug 20, 2019 9:19:11 AM com.github.fommil.netlib.BLAS
WARNING: Failed to load implementation from: com.github.fommil.netlib.NativeRefBLAS
Aug 20, 2019 9:19:11 AM com.github.fommil.netlib.LAPACK
WARNING: Failed to load implementation from: com.github.fommil.netlib.NativeSystemLAPACK
Aug 20, 2019 9:19:11 AM com.github.fommil.netlib.LAPACK
WARNING: Failed to load implementation from: com.github.fommil.netlib.NativeRefLAPACK

I found another person (on reddit) who reported the same problem (he was on Windows 10 and I am on Mac) and there were no clues on how to fix it.

Unsurprisingly, the model output does not match what is in the book. The head of the output looks like this:
``
M5 pruned model tree:
(using smoothed linear models)

alcohol <= 10.85 :
| volatile.acidity <= 0.237 :
| | fixed.acidity <= 6.85 :
| | | sulphates <= 0.485 :
| | | | fixed.acidity <= 6.55 :
| | | | | chlorides <= 0.038 : LM1 (34/79.918%)

summary(m.m5p) gives me this:

=== Summary ===

Correlation coefficient -0.2222
Mean absolute error 124.1163
Root mean squared error 165.4731
Relative absolute error 18429.7475 %
Root relative squared error 18670.7196 %
Total Number of Instances 3750

I am running:
macOS: 10.14.6
RWeka Version: 0.4-40
R version 3.6.1.
Java version "11.0.2" 2019-01-15 LTS
Java(TM) SE Runtime Environment 18.9 (build 11.0.2+9-LTS)

Do you have any ideas on how to get the code to work?

create a document-term sparse matrix code is giving error. error is _"Error in simple_triplet_matrix(i, j, v, nrow = length(terms), ncol = length(corpus), : 'i, j' invalid". how to solve this error.