I am trying to figure out the concepts behind Markov Chain.
[('D', 'E'), ('E', 'F'), ('F', 'E'), ('E', 'E'), ('E', 'F'), ('F', 'H'), ('H', 'F')]
How do I find the probability of the above data?
You have to use the tuples from the zip to index the dictionary and then multiply all the numbers.
from operator import mul
print reduce(mul, (dict_m[t] for t in zip(s, s[1:])))
Try something like this @Gujjar
HashMap<String, int> wordCount;
int ...READ MORE
Use higher-precision floats, if available on your ...READ MORE
Hi @Dipti, you could try something like ...READ MORE
Hey! Try this:
# Run this program on ...READ MORE
You can also use the random library's ...READ MORE
colors = ['red', 'green', ...READ MORE
Enumerate() method adds a counter to an ...READ MORE
Hey @Vivek, Try something like this:
>>> from ...READ MORE
Hey @Greg, this is possible. You can ...READ MORE
Use the following code:
from scipy import stats
slope, ...READ MORE
At least 1 upper-case and 1 lower-case letter
Minimum 8 characters and Maximum 50 characters
Already have an account? Sign in.