- CITATION: Introduce reference to PySCIPOpt and data (
4c1d4bb) - timing_evaluation notebook: Introduce timing evaluation in jupyter notebook (
a84e2cf)
- pre_processing: Replace z_i by theta_i in the calculation of xi_i (
cc1d9c8) - Adapt all calls of ZeMASamples to most recent version v0.7.0 of zema_emc_annotated (
6807f6b)
- timing_evaluation notebook: Introduce timing evaluation jupyter notebook (
56e7bcb)
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- pre_processing: Utilize timing module in pre-processing (
c7926cb) - timing: Introduce module to time and store progress (
dddd24d)
- timing: Introduce timing module into docs (
5670c98)
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- linear_program: Remove any clutter from linear_program after finding same results in all cases (
e4d1f2f) - INSTALL.md: Fix a bunch of formatting and information issues (
8a1522b)
- examples: Introduce all examples code into docs (
5d4ddd3)
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- CITATION.cff: Introduce DOI (
942bea6)
- README: Finalize README with mandatory sections (
0c6d01b)
- INSTALL: Finalize installation instructions (
cf66be8) - README: Introduce DOI and GitHub release badge (
52f2477)
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- activation_functions: Introduce Identity activation function (
9dac464) - linear_program: Replace auxiliary variable by direct objective and thus fix residing issue (
27021f4) - linear_program: Introduce generic base class and two classes for original and adapted problem (
a17389e) - data_types: Introduce IndexAndSeed data_type for streamlined implementation of example (
03c5123) - examples: Introduce task id parameter to parallelize and streamline implementation (
e82582b) - examples: Introduce script to find valid combinations of seeds, samples, sizes and depths (
954d204) - data_types: Capture the index of the valid samples from the ZeMA dataset (
c50a8f6)
- linear_inclusion notebook: Update with most recent version of zema_emc_annotated (
10e9b69)
- uncertain_inputs: Introduce direct value und uncertainties access for UncertainInputs (
98a72aa) - generate_nn_params: Introduce seeding into weight and bias generation (
c4d2fd2) - data_types: Introduce index type for valid seed collections for ZeMA dataset (
cf86be9) - activation_functions: Introduce quadlu (
a3c9947)
- README: Update Roadmap and Getting started (
d100a5b) - linear_inclusion: Introduce notebook to visualize and experiment with linear inclusion (
256bb91) - generate_nn_params: Introduce module generate_nn_params into docs (
decca7f)
- optimize: Introduce creation of deeper network parameters according to pytorch implementation (
d4cf1f8) - generate_nn_params: Introduce random generation of neural network parameters (
dea1cc7) - optimize: Introduce script to set up data and execute optimizer (
961fc1a) - pre_processing: Introduce compute_values_label to determine an inputs label (
d9bea2c) - ilp: Introduce linear optimization problem (
628346f)
- pre_processing: Fix bug in computation of z^(i)s and Theta^(i)s (
b25f752) - linear_program: Set t to be unbounded from below (
ca5785b) - linear_program: Add objective to linear program (
8d0682f) - NNParams: Fix default value creation and switch to tuple allowing differently sized layers (
fdb002c) - sigmoid: Correct type hints (
d70ae2c) - pre_processing: Introduce required type cast and mypy ignore expression (
1a9f1bb)
- README: Correct heading and description (
d6a8d47)
- data_types: Introduce data_types module for more convenient coding and reading (
38d2a8b) - activation_functions: Introduce activation functions module (
0063913) - pre_processing: Introduce pre-processing module to prepare optimization (
51e49c1) - uncertain_inputs: Introduce data_acquisition's uncertain_inputs module to prepare data for optimization (
5f98caa)
- README: Remove coverage badge as we cannot test and compute coverage on GitLab yet (
486e3c0) - uncertain_inputs: Introduce all pre_processing related modules into docs (
bfdccea)
- Introduce first draft of package structure and docs (
dcc4bd1)