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Machine learning #1

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mousavi and others added 30 commits July 24, 2019 13:51
Resolved compile errors and made the project runnable
71d5db7
connected bayesian optimizer of python to bo.Main
bdd8119
added a machinery for input/output generation and evaluation
e97a47a
@vrupp
change scala call from python
0c1f154
@vrupp
resolved merge conflicts sbt call
3084af9
added scaladoc comments for BOUtil
a15f26d
@vrupp
call sbt package
ff25c6e
@vrupp
call sbt package
145a6c5
@vrupp
added params to BO
ab35e31
added the basic tool for calculating adapted lyapunov exponent
6bdd2d3
@vrupp
refactored params into simulation class
a38758f
added simple visualization tools
cfdf226
@vrupp
read params from json
a94b2ef
added json support to bayesian_optimizer.py
40473e9
added a train/test model for evaluating bayesian optimization perform…
85d49f6 
…ance
added a train/test model for evaluating bayesian optimization perform…
97c4199 
…ance
Merge remote-tracking branch 'origin/master'
de18b53
@vrupp
added params to simulation
d04063d
@vrupp
changed error function
b097d13
@vrupp
added factory params
98ee926
tuned the params for meaningful output, added two-mode plotting from …
e2d2cc1 
…sbt command line
@vrupp
fixed error calculation and log with buffer
34389a6
added partial-parameter optimization to python
2c645f1
@vrupp
plot multiple lines with same intervall, fix param intervalls for BO
d0a8cc6
simplified optimization process and removed inputs
0987cfa
modified bayesian optimization loop
925ebbf
@vrupp
added params for gender and capital, normalized viz output
cb1ec06
@vrupp
removed output ranges
31423fd
@vrupp
added observables, fixed bug empty pl
90c74d9
@vrupp
fixed viz bugs
1becf3d
vrupp and others added 30 commits September 10, 2019 16:45
@vrupp
changed BO for new json format and equalized param ranges
be73f6b
@vrupp
simplified bayesian optimization
efb0364
@vrupp
fixing typo
2c1b7d7
@vrupp
saving intermediate results BO
46a9fd6
@alirezamoosio
Another update to the README.md!
3b1ea8b
added learning rate for group training and input learning
567974d
added supplementary files and changed readme
0093912
@vrupp
write bo target in result json
70049c7
@vrupp
refactored network and bo for supplementary directory
04541a0
@vrupp
moved params.json to supplementary
d7621d6
added sigma variables to data generation and network configuration
0b0ae97
tuned single_nn's config and added 0 sd support
5aa12a8
@vrupp
wrote results of input learning in json file
3bd9d62
@vrupp
minimum 2 agents per type
aacc814
added batch-prediction
0e7e7ea
@vrupp
removed todos and added docstring
7e18cdf
fixed the 0 sd problem of single_nn.py
c940bc5
Merge branch 'master' of https://github.com/alirezamoosio/economic_si…
2cace38 
…mulations
@vrupp
adding datasets with 3000 lines
db8762d
@vrupp
models with new dataset
d334845
@vrupp
comment assertion because of imprecisely rounding
4797c1e
added global stat scaling for error measurement in scala
b8fc91a
splitted dataset into differently generated train and test data
bd5f5c1
splitted dataset into differently generated train and test data
87acd82
Merge remote-tracking branch 'origin/master'
99f33c4
changed all group metrics to mae for consistency
b48de67
fixed an input-learning bug, the same input parameters for different …
9c95be4 
…agents were treated as different parameters!
added the ability to run the simulation directly from bo.Main
62abfb3
moved files to ml subdirectory
3bd7d43
moved everything to machine-learning branch
bb2af50
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@alirezamoosio @vrupp