In machine learning tasks. We should get a group of random w.r.t normal distribution with a bound. We can get a normal distribution number with np.random.normal() but it doesn't offer any bound parameter. I want to know how to do that?
It is quite complex to parametrize the truncnorm class. Here is an example that would help you to do so:
from scipy.stats import truncnormdef get_truncated_normal(mean=0, sd=1, low=0, upp=10): return truncnorm( (low - mean) / sd, (upp - mean) / sd, loc=mean, scale=sd)
from scipy.stats import truncnorm
def get_truncated_normal(mean=0, sd=1, low=0, upp=10):
(low - mean) / sd, (upp - mean) / sd, loc=mean, scale=sd)
Hope this answer helps.
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