As Round 1 concludes, we invite you to join the Brick by Brick Challenge Townhall! This session offers a unique opportunity to engage with the organisers, gain valuable insights into the challenge, and get your questions answered. Prepare to boost your Round 2 submissions and refine your strategies!
For those unable to attend, a recording will be made available. Feel free to drop your questions on this post, and the organisers will address them during the session.
Townhall Highlights:
Direct engagement with the organisers
Overview of the data collection process & background on BMS and the βBrickβ dataset
Problem formulation for the challenge & methods used in the benchmarks
Interactions with fellow participants
Live Q&A session
Canβt attend? No problem! Leave your questions in the comments, and they will be addressed during the session.
Hello, I cannot attend. Will the Zoom meeting be recorded? I am familiar with buildings, HVAC, and controls β¦ and curious if there could be any explanation for any newbies on how models are put together, tested, and then optimized for MSE? Some high level explanation on the how the Proβs do this process until they have something fined tuned that wins the competition would be really neat.
Is the distribution of labels in the training set the same as the distribution of labels in the test set?
For eg, in the training set. βHeating_Demand_Sensorβ and βCooling_Demand_Sensorβ do not have any β1β labels. Thus its impossible to predict for those labels theres not data with β1β label to learn from.
Does that mean the test set will also have no instances of those 2 labels as class 1? If thats the case, why are they included as labels from the start?