Local location of dataset and models contains absolute directory path and is prepended with "dataset_" and "model"

[sgbaird]

Running on Windows.

# pip install olymp sqlalchemy matplotlib
# initalize the Olympus orchestrator
from olympus import Olympus, Database, Campaign
from time import time
from os import path

olymp = Olympus()
# we declare a local database to which we store our campaign results
database = Database()

DATASET = "photo_pce10"
NUM_REPETITIONS = 10
PLANNERS = ["Grid"]

elapsed_times = {"planner": [], "time": []}
for PLANNER in PLANNERS:
    for repetition in range(NUM_REPETITIONS):
        print(f"Algorithm: {PLANNER} [repetition {repetition+1}]")

        start_time = time()
        olymp.run(
            planner=PLANNER,  # run simulation with <PLANNER>,
            dataset=DATASET,  # on emulator trained on dataset <DATASET>;
            campaign=Campaign(),  # store results in a new campaign,
            database=database,  # but use the same database to store campaign;
            num_iter=100,  # run benchmark for num_iter iterations
        )
        elapsed_time = time() - start_time
        elapsed_times["planner"].append(PLANNER)
        elapsed_times["time"].append(elapsed_time)

[FATAL] Could not find dataset ` \sterg\Miniconda3\envs\sdl-demo\lib\site-packages\olympus\datasets\dataset_photo_pce10`. Please choose from one of the available datasets: \sterg\Miniconda3\envs\sdl-demo\lib\site-packages\olympus\datasets\dataset_alkox, \sterg\Miniconda3\envs\sdl-demo\lib\site-packages\olympus\datasets\dataset_benzylation, \sterg\Miniconda3\envs\sdl-demo\lib\site-packages\olympus\datasets\dataset_colors_bob, \sterg\Miniconda3\envs\sdl-demo\lib\site-packages\olympus\datasets\dataset_colors_n9, \sterg\Miniconda3\envs\sdl-demo\lib\site-packages\olympus\datasets\dataset_fullerenes, \sterg\Miniconda3\envs\sdl-demo\lib\site-packages\olympus\datasets\dataset_hplc, \sterg\Miniconda3\envs\sdl-demo\lib\site-packages\olympus\datasets\dataset_photo_pce10, \sterg\Miniconda3\envs\sdl-demo\lib\site-packages\olympus\datasets\dataset_photo_wf3, \sterg\Miniconda3\envs\sdl-demo\lib\site-packages\olympus\datasets\dataset_snar, \sterg\Miniconda3\envs\sdl-demo\lib\site-packages\olympus\datasets\dataset_suzuki.

Changing to the following (based on error message) worked for the dataset:

from os import path
...
path.join(
    "\sterg",
    "Miniconda3",
    "envs",
    "sdl-demo",
    "lib",
    "site-packages",
    "olympus",
    "datasets",
    "dataset_photo_pce10",
)
...

But then I get the following error about the model:

[FATAL] Model "BayesNeuralNet" not available in Olympus. Please choose from one of the available models: Rs\sterg\Miniconda3\envs\sdl-demo\lib\site-packages\olympus\models\modelBayesNeuralNet, Rs\sterg\Miniconda3\envs\sdl-demo\lib\site-packages\olympus\models\modelNeuralNe

and it's not apparent what I need to change. What would you suggest?

[sgbaird]

My bad - duplicate of #12