The data in the loading JSON example is incorrect

[ThatCoolCoder]

Just below this heading in your reference, there is an example showing how to load data as JSON. This is the example data that is provided to show the format:

{"data": [
  {"xs": {"avg_temperature":20, "humidity": 0.2}, "ys": {"rained": "no"}},
  {"xs": {"avg_temperature":30, "humidity": 0.9}, "ys": {"rained": "yes"}}
] }

However, when testing loading JSON, I found that this data format was not correct. For every item, I would get an error like this: the input label avg_temperature does not exist at row 0. After some experimentation, I found that the data format should instead be something like this:

{"data": [
    {"avg_temperature":20, "humidity": 0.2, "rained" : "no"},
    {"avg_temperature":30, "humidity": 0.9, "rained": "yes"}
] }

[lindapaiste]

@QuinnHe @MOQN We have this mistake in the new v2 documentation and should fix it there as well, in the file https://github.com/ml5js/ml5-website-v02-docsify/blob/main/docs/reference/neural-network.md

[QuinnHe]

Thanks Linda! Will update it :)

Best, Quinn

On Tue, Mar 26, 2024 at 10:11 AM Linda Paiste @.***> wrote:

@QuinnHe https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_QuinnHe&d=DwMCaQ&c=slrrB7dE8n7gBJbeO0g-IQ&r=lj4eKD-Kd9ebWfo4Ezdxjg&m=T4_4XbUFljvAEVfUNPDvKzIaFi1CnP6VgU8BYoF69W_RClK06whI7dg35EOr_ohW&s=i5WdmGOYcQyBxXX5iJkO_S_PtvOgvaTDiB8LinhbsTM&e= @MOQN https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_MOQN&d=DwMCaQ&c=slrrB7dE8n7gBJbeO0g-IQ&r=lj4eKD-Kd9ebWfo4Ezdxjg&m=T4_4XbUFljvAEVfUNPDvKzIaFi1CnP6VgU8BYoF69W_RClK06whI7dg35EOr_ohW&s=mVch6TaKOfphlMFNak9u5Ry-nqXgzZZ5fB6CG0phHPY&e= We have this mistake in the new v2 documentation and should fix it there as well, in the file https://github.com/ml5js/ml5-website-v02-docsify/blob/main/docs/reference/neural-network.md https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_ml5js_ml5-2Dwebsite-2Dv02-2Ddocsify_blob_main_docs_reference_neural-2Dnetwork.md&d=DwMCaQ&c=slrrB7dE8n7gBJbeO0g-IQ&r=lj4eKD-Kd9ebWfo4Ezdxjg&m=T4_4XbUFljvAEVfUNPDvKzIaFi1CnP6VgU8BYoF69W_RClK06whI7dg35EOr_ohW&s=TQh2p8npd-0gBsoDv4F_pb9s9PjR2Ij-nxpWOIpVOK4&e=

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[MOQN]

@lindapaiste Thank you for letting us know! We will revise the whole documentation by Tuesday, April 2nd, and ask you all to review it.