springcoil

from flask import Flask,request, jsonify
from sampled import sampled
import numpy as np
import pymc3 as pm
import theano.tensor as tt
import pandas as pd

app = Flask(__name__)

@sampled

springcoil

springcoil

springcoil

Iteration 0 [0%]: ELBO = -56971496.0
Iteration 50 [10%]: Average ELBO = nan
Iteration 100 [20%]: Average ELBO = nan
Iteration 150 [30%]: Average ELBO = nan
Iteration 200 [40%]: Average ELBO = nan
Iteration 250 [50%]: Average ELBO = nan
Iteration 300 [60%]: Average ELBO = nan
Iteration 350 [70%]: Average ELBO = nan
Iteration 400 [80%]: Average ELBO = nan
Iteration 450 [90%]: Average ELBO = nan

springcoil

name: pymc3_dev
channels:
- defaults
dependencies:
- _nb_ext_conf=0.3.0=py35_0
- anaconda-client=1.5.1=py35_0
- appnope=0.1.0=py35_0
- clyent=1.2.2=py35_0
- conda-forge::jinja2=2.8=py35_1
- conda-forge::xz=5.2.2=0

springcoil

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-47-0d6966774623> in <module>()
      4         local_RVs=local_RVs, observed_RVs=observed_RVs,
      5         encoder_params=(enc.params + dec.params),
----> 6         optimizer=adam
      7     )

/Users/peadarcoyle/anaconda/envs/py35/lib/python3.5/site-packages/pymc3/variational/advi_minibatch.py in advi_minibatch(vars, start, model, n, n_mcsamples, minibatch_RVs, minibatch_tensors, minibatches, local_RVs, observed_RVs, encoder_params, total_size, optimizer, learning_rate, epsilon, random_seed, verbose)

springcoil

springcoil

springcoil

springcoil