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@DanielWeitzenfeld
DanielWeitzenfeld / extrapolating random walk.ipynb
Last active Aug 5, 2019
Using pymc3's automatic missing-inference to extrapolate a random walk
View extrapolating random walk.ipynb
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View Bound of a sum of variables using pm.potential.ipynb
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View mean reversion.ipynb
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@DanielWeitzenfeld
DanielWeitzenfeld / ordinal_pymc3_DBDA23.2.2.py
Created Dec 5, 2016
functional implementation of ordinal predicted variable
View ordinal_pymc3_DBDA23.2.2.py
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
View ordinal_pymc3.py
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
@DanielWeitzenfeld
DanielWeitzenfeld / looker_annotation_coverage.py
Created Jul 24, 2015
Script to calculate annotation coverage on a LookML repo
View looker_annotation_coverage.py
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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