Luca Zavarella

I'm facing the same _"non-numeric argument to binary operator"_ error with MILP using this: ``` model % add_variable( x[i, j], i = 1:n_warehouses, j = 1:n_countries, type = "integer" )...

Just use this CSV file: [ts_forecast.csv](https://github.com/business-science/modeltime/files/7920704/ts_forecast.csv) Here the script: ``` library(readr) library(dplyr) library(modeltime) forecast_df % mutate( date = as.POSIXct(date) ) %>% mutate( .model_id = ifelse(is.na(conf_lo), NA, 1), .model_desc = ifelse(is.na(conf_lo),...

Also `.color_var` from `plot_time_series()` is not working in the `plot_modeltime_forecast()` function: ``` forecast_df %>% mutate( date = as.POSIXct(date) ) %>% mutate( quarter = as.factor(quarters(date)) ) %>% mutate( .model_id = ifelse(is.na(conf_lo),...

It is working on the preview version for me.

Could anyone turn off the boot for this feature request? Creating pipelines from R SDK is really important. Thanks

I'm facing the same issue @mvenanc has reported. Maybe it's better to open another thread for it. You can find it [here](https://github.com/Azure/azureml-sdk-for-r/issues/328).

@tkralphs done the problem is that if I set a timeout, CBC runs indefinitely and I had to stop the kernel. If I don't set the timeout, CBC gives me...

> > > @lucazav > I just learned that in workspace 2.0 you can share the dashboard with other team members in the workspace, but you can't share it with...

> > > The dashboard is shown in the Azure ML portal, under the run history for the run on which you upload the explanation to azure. We are working...

I think having this dashboard (with all its features) available, for example, as a [Flask](https://github.com/pallets/flask) widget will be a real contribution to the open source community.