A fast Python implementation of HMM
Installation
To install:
$ pip install hmm-toolQuickstart
from hmmtool import HMM
import numpy as np
### 3 states, 6 observations:
### states values:0/1/2, observations values:0/1/2/3/4/5
hmm = HMM(3,6)
#train
s1 = np.random.randint(6,size = 60)
s2 = np.random.randint(6,size = 40)
hmm.add_data([s1,s2])
hmm.train(maxStep=50,delta=0.001)
#get params
print(hmm.pi)
print(hmm.A)
print(hmm.B)
#predict
#random data
s3 = np.random.randint(6,size = 10)
s4 = np.random.randint(6,size = 10)
#multi inputs:[[o1,o2,o3,...,ot1],[o1,o2,o3,...,ot2]]
#output: [prob1, prob2]
print(hmm.estimate_prob([s3,s4]))
#output: [(prob1, [s1,s2,s3,...,st1]), (prob2, [s1,s2,s3,...,st2])]
print(hmm.decode([s3,s4]))1 maintainer
Metadata
1 maintainer
Release files for hmm-tool 0.0.4
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