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import seaborn as sns | |
import pymc3 as pm | |
import numpy as np | |
from scipy.stats import norm | |
import pandas as pd | |
import theano.tensor as T | |
from theano.compile.ops import as_op | |
# Generate True data |
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import pymc3 as pm | |
import numpy as np | |
import theano.tensor as T | |
from theano.compile.ops import as_op | |
from scipy.stats import norm | |
# trying to implement a model similar to the one in Doing Bayesian Data Analysis 23.4 | |
# ordinal predicted variable, metric predictor | |
# generate fake likert-scale data, as generated by 50 different raters |
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import os | |
import sys | |
import yaml | |
import pandas as pd | |
# Generates CSVs with aggregate stats about your LookML: | |
# % of dimensions and measures that have descriptions | |
# % of dashboard elements with a note |
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