Comments (1)
GoogleCodeExporter
commented on August 22, 2024
I have solved the training data by putting '\n' in every line of my training
data (SMLFAutoTrain1s512val.txt). But I found that a lot zeros in every lines
after my 78-dimensions in each vector in the output file
(CSMLFAutoTrain1s512val.txt). How can I run the kmeans program not having so
much zeros in every lines? What is the first field in every line of my output
data since they are all zeros? I assume that is the class label. Please correct
me if I am wrong here.
Original comment by [email protected] on 23 Sep 2011 at 4:48
from sofia-ml.
Related Issues (18)
- simple fix for gcc 4.3 HOT 2
- sf-weight-vector fails unit test HOT 1
- problems building sofia-ml HOT 1
- malloc error with --hash_mask_bits HOT 1
- Multi-Label Passive-Aggressive
- sf-sparse-vector.cc bug, in Init function HOT 1
- Assertion failure in sf-kmeans-methods_test
- Does sofia-ml support other values for features than "1"? HOT 1
- Issues with dimensionality off-by-one HOT 1
- The ids in cluster output are formatted scientific notation rather than ints
- lambda parameter not passed into SvmObjective correctly
- k-means question HOT 2
- sofia doesnt work on sparse dataset containing lines in which all features are 0
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- Assertion '!cluster_centers_empty()' fails and crashes program HOT 1
- Multi-label classification
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