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zhCh`)m1O{S2%d4Eb6vBod_vAI^Nm`?BQ5SK52N$BvWA3jed>0jRS#|W$z7Vb!ItQ@f*8}HXjJit2?(y+8@+AXdEXg;zh+GFOeVKAWL!?&fTEH2?M@XJMS-!m?C3j{Hv9hLo?+LeK zntW>Elm#_{PsFZFi%DZP*9mLB^L(JEa(v7-eXGjc{QP06l(L5r7YRwWJ0}Ttfj@E9 zqy9gtB~cIU=xY=BR^DiFTL;X}oy2d6I}7p3H3fTM;4CVmBHS4(26_FsfjT_GWSLrB95~wuVj>_}q(|~pM_s3jEwZGCJrm*|+V zTEgDW;>`fr-^W=I*=Chxsm3Ua6T83c{l@2Oq<}=Tqol95OT2HjX0gprOA<IJs13a67cVR|2_Smwwn=h(}Dl( c&HubYmGhZAEwul!f&yML5(?raFAaSD4^gw&v;Y7A literal 0 HcmV?d00001 diff --git a/docs/modeling/edit-model.md b/docs/modeling/edit-model.md index be6e40a..2fa4893 100644 --- a/docs/modeling/edit-model.md +++ b/docs/modeling/edit-model.md @@ -4,9 +4,36 @@ title: "Edit a model" # Edit a model -Model editing lets you build on existing models. You can add, remove, or change state variables, transitions, parameters, rate laws, and observables. +Model editing lets you build on existing models. Supported edits include: -How you implement your edits is up to you. You can write your own code or prompt the integrated AI assistant to generate and execute code for you. +- Answering questions about, adding, removing, or changing state variables, transitions, parameters, rate laws, and observables. +- Renaming model elements. +- Setting variable or parameter units. +- Replacing parameters with more complex formulas. +- Resetting the model to its original state. + +The Edit model operator is a code notebook with an interactive AI assistant. You describe in plain language the changes you want to make, and the LLM-powered assistant automatically generates the code for you. + +!!! note + + The Edit model operator adapts to your coding experience. You can: + + - Use plain language to prompt an AI assistant for a no-code experience. + - Edit and rerun AI-generated code. + - Write own executable code to make custom edits. + +## Edit model operator + +In a workflow, the Edit model operator takes a model or model configuration as an input and outputs an edited model. + +???+ tip + + For complex edits with multiple steps, it can be helpful to chain multiple Edit model operators together. This allows you to: + + - Keep each notebook short and readable. + - Access intermediate results for testing or comparison. + +Once you've completed your edits, the thumbnail preview shows the diagram or equations of the edited model.
    ![](../img/models/model-edit-operator.png) @@ -19,7 +46,7 @@ How you implement your edits is up to you. You can write your own code or prompt --- - Model + Model or model configuration - :material-arrow-expand-right:{ .lg .middle aria-hidden="true" } __Outputs__ @@ -33,41 +60,98 @@ How you implement your edits is up to you. You can write your own code or prompt - Perform one of the following actions: - On a resource or operator that outputs a model or model configuration, click Link :octicons-plus-24:{ title="Link" aria-labelledby="link-icon-label" } > **Edit model**. + - On a resource or operator that outputs a model or model configuration, click Link :octicons-plus-24:{ title="Link" aria-labelledby="link-icon-label" } > **Edit model**. - Right-click anywhere on the workflow graph, select **Modeling** > **Edit model**, and then connect the output of a model or model configuration to the Edit model input. -## Edit a model with the AI assistant +## Edit a model in the Edit model code notebook + +Inside the Edit mode operator is a code notebook. In the notebook, you can prompt an AI assistant to answer questions about or modify your model. If you're comfortable writing code, you can edit anything the assistant creates or add your own custom code. + +![](../img/models/model-edit-notebook.png) -Using the Notebook view of the Edit model operator, you can steer an AI assistant to quickly create, modify, and refine a model from code. All generated code is directly editable, allowing you to make modifications at any time. +Generated code appears below your prompts, where you can preview, edit, and run it. Each prompt and response builds on the previous ones, letting you gradually make complex changes and save the history of your work. ???+ note - Each time you submit a new prompt or command, the generated code is added below any existing code. Each time you run the code, the whole notebook is executed. + Each new prompt and response adds new code below any existing code. When you run the Edit model operator, all the code is executed, not just your latest changes. + +??? list "Open the Edit model code notebook" + + - Make sure you've connected a model or model configuration to the Edit model operator and then click **Edit**. + +### Use the AI assistant to edit a model + +The Edit model AI assistant interprets plain language to answer questions about or transform your model. + +???+ tip + + The AI assistant can perform more than one command at a time. -???+ list "Edit a model using the AI assistant" +??? list "Ask the AI assistant a question about your model or the process of editing" - 2. Click in the prompt field to see suggested actions. Select a suggestion or enter your own command using plain language. - 3. Click :material-play-outline:{ aria-hidden="true" } **Run**. + 1. Click in the text box at the top of the page, enter your question, and then click Submit :octicons-paper-airplane-24:{ style="transform: rotate(-45deg);" title="Submit" aira-labelledby="Submit" }. + 2. Click **Show thoughts** to view the answer. - ???+ tip +??? list "Edit a model using the AI assistant" - To generate and preview model code but not run it, click :fontawesome-regular-paper-plane:{ alt="Generate code" title="Generate code"}. + 1. Click in the text box at the top of the page and then perform one of the following actions: + - Select a suggested prompt and modify it to fit your model and required edits. + - Enter a plain-language description of the changes you want to make. + 2. Click Submit :octicons-paper-airplane-24:{ style="transform: rotate(-45deg);" title="Submit" aira-labelledby="Submit" } to generate and preview the model edit code. + 3. Review and edit (if necessary) the generated model edit code. + 4. Click :material-play-outline:{ aria-hidden="true" } **Run**. - 4. Review the resulting model diagram in the preview on the right. - 5. To make changes, submit a new prompt that clarifies or builds on what you asked for or directly edit the generated code. - 6. Click :material-play-outline:{ aria-hidden="true" } **Run** again to update the model. - 7. To save an iteration of the model at any point, click **Save for re-use**, enter a unique name and click **Save**. +### Add or edit code -## Edit a model with your own code +At any time, you can edit the code generated by the AI assistant or enter your own custom code. -More info coming soon. +??? list "Add or make changes to model edit code" -## Use the edit model operator output + 1. Directly edit the python code. + 2. Click :material-play-outline:{ aria-hidden="true"} **Run**. + 3. If needed, review any errors in the Output Console below the code. -More info coming soon. + -- [Edit model](#) -- [Stratify model](stratify-model.md) -- [Compare models](compare-models.md) -- [Configure model](../config-and-intervention/configure-model.md) -- [Create intervention policy](../config-and-intervention/create-intervention-policy.md) +### Edit model examples + +The following sections show examples of how to prompt the Edit model AI assistant to perform commonly used edits. + +??? list "Add observables by pattern" + + For a stratified model, you can add observables by pattern. For example, with a model stratified by age (*children*, *adults*, *elderly*) and vaccination status (*vaccinated*, *unvaccinated*]: + + ```{ .text .wrap } + Add an observable called susceptible_vaccinated_children for the susceptible identifier and for vaccinated children + ``` + +??? list "Expand an equation" + + You can use the Edit model operator to take a high-level equation and progressively expand it by substituting definitions of variables into the equation. By doing this in multiple iterative steps over several connected Edit model operators, you can create a fully detailed model with clear relationships and dependencies. + + ```{ .text .wrap } + Replace rate law t1 with the equation i * s ^ omega (1 - (1/e)**(theta * IR**2 * (v * (i * IR * Vdrop * tContact / ((AER + lambda + 5) * Vair ))))) + ``` + +## Save an edited model + +Each time you click :material-play-outline:{ aria-hidden="true" } **Run**, Terarium creates a new edited model as the output for the Edit model operator. This lets you return to previous versions of your model or choose the best one to save and use in your workflow. + +When you're done making changes, you can connect the chosen output to any operators in the same workflow that take models as an input. + +To use an edited model in other workflows, save it as a project resource. + +??? list "Choose a different output for the Edit model operator" + + - Use the **Select an output** dropdown. + +??? list "Save an edited model to your project resources" + + You can save an edited model at any time. + + 1. (Optional) If you created multiple outputs during your edits, **Select an output** to save. + 2. Click **Save for re-use**, enter a unique name in the text box, and then click **Save**. + +??? list "Download an edited model" + + - Click Menu :fontawesome-solid-ellipsis-vertical:{ title="Menu" aria-labelledby="menu-icon-label" } > :octicons-download-24:{ aria-hidden="true" } **Download**. \ No newline at end of file From bb62e5403948efcdb84f9093b6d4660cb37285cc Mon Sep 17 00:00:00 2001 From: mecrouch Date: Wed, 18 Dec 2024 16:27:57 -0500 Subject: [PATCH 2/4] Misc cleanup --- docs/datasets/transform-dataset.md | 191 ++++++++++--------- docs/modeling/create-model-from-equations.md | 10 +- docs/modeling/review-and-enrich-model.md | 2 +- docs/upload-resources/index.md | 8 +- mkdocs.yml | 2 +- 5 files changed, 115 insertions(+), 98 deletions(-) diff --git a/docs/datasets/transform-dataset.md b/docs/datasets/transform-dataset.md index b53b7f9..f4234a9 100644 --- a/docs/datasets/transform-dataset.md +++ b/docs/datasets/transform-dataset.md @@ -88,7 +88,7 @@ Inside the Transform dataset operator is a code notebook. In the notebook, you c ![Transform dataset code notebook in which the AI assistant creates a new comparison](../img/data/transform-notebook.png) -Prompts and responses are written to cells where you can preview, edit, and run code or data. Each cell builds on the previous ones, letting you gradually make complex changes and save the history of your work. You can insert prompts or cells at any point in the chain of transformations. +Prompts and responses are written to cells where you can preview, edit, and run code. Each cell builds on the previous ones, letting you gradually make complex changes and save the history of your work. You can insert prompts or cells at any point in the chain of transformations. ???+ tip @@ -332,13 +332,21 @@ At any time, you can edit the code generated by the AI assistant or enter your o ## Save transformed data -Saved datasets appear in your Resources panel and the output of the Transform dataset operator. +At times in your transformation or whenever specifically prompted, the AI assistant creates new transformed datasets as the output for the Transform dataset operator. This lets you return to previous versions of your dataset or choose the best one to save and use in your workflow. -??? list "Save transformed data as a new dataset in Terarium" +When you're done making changes, you can connect the chosen output to any operators in the same workflow that take datasets as an input. + +To use a transformed dataset in other workflows, save it as a project resource. + +??? list "Choose a different output for the Transform dataset operator" + + - Use the **Select a dataframe** dropdown. + +??? list "Save a transformed dataset to your project resources" You can save your transformations as a new dataset at any time. - 1. (Optional) If connected multiple datasets to your Transform dataset operator or if you created intermediary dataframes in the process, **Select a dataframe** to save. + 1. (Optional) If you created multiple outputs during your transformations, **Select a dataframe** to save. 2. Click **Save for reuse**, enter a unique name in the text box, and then click **Save**. ??? list "Preview a transformation on the Transform dataset operator in the workflow graph" @@ -347,7 +355,7 @@ Saved datasets appear in your Resources panel and the output of the Transform da ??? list "Download a transformed dataset" - 1. Save the transformation as a new dataset. + 1. Save the transformation output as a new dataset. 2. Close the Transform dataset code notebook. 3. In the Resources panel, click the name of the new dataset. 4. Click Menu :fontawesome-solid-ellipsis-vertical:{ title="Menu" aria-labelledby="menu-icon-label" } > :octicons-download-24:{ aria-hidden="true" } **Download**. @@ -367,68 +375,76 @@ The following sections show examples of how to prompt the Transform dataset AI a * `Plot the data` * `Rename column 'cases' to 'I', column 'hospitalizations' to 'H', and 'deaths' to 'E'` -### Clean a dataset - -You can use the AI assistant to clean your dataset by specifying column types, reformatting dates, and performing other common data preparation tasks. - -??? example "Specify the type of data in a column" +??? list "Clean a dataset" + You can use the AI assistant to clean your dataset by specifying column types, reformatting dates, and performing other common data preparation tasks. + + **Specify the type of data in a column** + Reformat a column of numeric IDs to, for example, add back leading zeroes that were stripped off: - - > `Set the data type of the column "fips" to "string". Add leading zeros to the "fips" column to a length of 5 characters.` - -??? example "Reformat dates" - + + ```{ .text .wrap } + Set the data type of the column "fips" to "string". Add leading zeros to the "fips" column to a length of 5 characters. + ``` + + **Reformat dates** + Datasets with inconsistent date formats can interfere with accurate interpretation and integration into model parameters: + + ```{ .text .wrap } + Set the data type of the column "t0" to datetime with format like YYYY-MM-DD hh:mm:ss UTC + ``` - > `Set the data type of the column "t0" to datetime with format like YYYY-MM-DD hh:mm:ss UTC` - -### Combine datasets - -Before you combine datasets, make sure they share at least one common column like name, ID, date, or location. You can ask the AI assistant to link them by matching records based on the common data so that information aligns correctly. - -??? example "Combine multiple datasets" +??? list "Combine datasets" + Before you combine datasets, make sure they share at least one common column like name, ID, date, or location. You can ask the AI assistant to link them by matching records based on the common data so that information aligns correctly. + 1. Connect the outputs of each dataset to the input of a Transform dataset operator and then click **Edit**. - 2. Ask the assistant to `Join d1 and d2 where date, county, and state match. Save the result as a new dataset and show me the first 10 rows.` + 2. Ask the assistant to: - ???+ tip + ```{ .text .wrap } + Join d1 and d2 where date, county, and state match. Save the result as a new dataset and show me the first 10 rows. + ``` + ???+ tip + You can also specify what type of join (such as inner join, left join, right join, or full outer join) you want the assistant to perform. - + 3. To save the dataset as a new resource in your project, change the dataframe and click **Save for reuse**. -### Plot a dataset - -You can visualize your data to explore patterns, compare quantities, identify relationships, analyze distributions, and capture insights tailored your analysis. Supported visualizations include: - -
    -
    -- Line plots -- Bar charts -- Scatter plots -- Box plots -- Histograms -- Pie charts -- Heatmaps -- Violin plots -- Bubble charts -- Area charts -
    -
    -![](../img/data/example-visualize-data.png) -
    -
    - -???+ tip - - To refine your visualizations, edit your prompt to add more details about what you want to see (for example, add `Insert a legend` to a prompt that initially only requests a plot). - -??? example "Visualize a dataset" +??? list "Plot a dataset" + You can visualize your data to explore patterns, compare quantities, identify relationships, analyze distributions, and capture insights tailored your analysis. Supported visualizations include: + +
    +
    + + - Line plots + - Bar charts + - Scatter plots + - Box plots + - Histograms + - Pie charts + - Heatmaps + - Violin plots + - Bubble charts + - Area charts + +
    +
    + ![](../img/data/example-visualize-data.png) +
    +
    + + ???+ tip + + To refine your visualizations, edit your prompt to add more details about what you want to see (for example, add `Insert a legend` to a prompt that initially only requests a plot). + 1. Ask the assistant to plot your data. For the best results, be as specific as possible about what you want to see: - > `plot the number of hospitalizations over the 150 days for the baseline, masking, and vaccination interventions.` + ```{ .text .wrap } + plot the number of hospitalizations over the 150 days for the baseline, masking, and vaccination interventions. + ``` 2. To refine the visualization, perform one of the following actions: @@ -440,53 +456,54 @@ You can visualize your data to explore patterns, compare quantities, identify re - Select **Display on node thumbnail** to use the image as the thumbnail on the Transform dataset operator in the workflow. - Right-click the image, select **Copy image**, and then paste it into your project overview. -### Create a map-based visualization - -The AI assistant can connect to third-party code repositories and data visualization libraries to incorporate geolocation data and then create map plots. - -![Blue and yellow choropleth map of reproduction numbers in parts of the U.S.](../img/data/chloropleth-map.png) - -??? example "Create a choropleth map of reproduction numbers" +??? list "Create a map-based visualization" + The AI assistant can connect to third-party code repositories and data visualization libraries to incorporate geolocation data and then create map plots. + + ![Blue and yellow choropleth map of reproduction numbers in parts of the U.S.](../img/data/chloropleth-map.png) + These prompts ask the assistant to get U.S. county-level data from plotly and then use using matplotlib and geopandas handle and visualize geographic data structures. + + ```{ .text .wrap } + Write me code that downloads the US counties geojson from plotly GitHub using urlopen + ``` - 1. `Write me code that downloads the US counties geojson from plotly GitHub using urlopen` - 2. `Use matplotlib to make a figure. Create a choropleth map from the column "Rl" in the geopandas dataframe "new_df_all". Use the "cividis" colormap. Add a legend.` - -### Compare datasets - -You can use the AI assistant to compare multiple datasets or simulation results. + ```{ .text .wrap } + Use matplotlib to make a figure. Create a choropleth map from the column "Rl" in the geopandas dataframe "new_df_all". Use the "cividis" colormap. Add a legend. + ``` -??? example "Compare optimized intervention policies" +??? list "Compare datasets" - See the [Working with Data](https://app.terarium.ai/projects/a9462f60-14bc-4ca3-869e-8a7e5a8600e2/workflow/33433e99-6c34-446b-83fa-41bad1440dd8){ target="_blank" } workflow in the [Terarium Sample Project](https://app.terarium.ai/projects/a9462f60-14bc-4ca3-869e-8a7e5a8600e2/overview){ target="_blank" }. It takes three datasets generated by optimizing intervention policies and then: + You can use the AI assistant to compare multiple datasets or simulation results. + See the [Working with Data](https://app.terarium.ai/projects/a9462f60-14bc-4ca3-869e-8a7e5a8600e2/workflow/33433e99-6c34-446b-83fa-41bad1440dd8){ target="_blank" } workflow in the [Terarium Sample Project](https://app.terarium.ai/projects/a9462f60-14bc-4ca3-869e-8a7e5a8600e2/overview){ target="_blank" }. It takes three datasets generated by optimizing intervention policies and then: + - Combines them into a new scenario comparison dataset. - Calculates summary statistics for hospitalizations in each dataset. - Identifies the timepoint at which the maximum number of hospitalizations occur in each dataset. - In a separate data transformation, plots hospitalizations for each intervention over time. -### Convert incidence data to prevalence data - -If you have an epidemiological dataset that contains incidence data (such as new cases per day), you can prompt the AI assistant to convert it to prevalence data (such as total cases at any given time). You will need to specify: - -- How long it takes people to recover. -- The susceptible population. - -??? example "Convert incidence data to prevalence data" +??? list "Convert incidence data to prevalence data" + If you have an epidemiological dataset that contains incidence data (such as new cases per day), you can prompt the AI assistant to convert it to prevalence data (such as total cases at any given time). You will need to specify: + + - How long it takes people to recover. + - The susceptible population. + This prompt converts daily case counts into prevalence data. It uses user-supplied recovery and population data to calculate total cases: + + ```{ .text .wrap } + let's assume avg time to recover is 14 days and time to exit hosp is 10 days. Can you convert this data into **prevalence** data? please map it to SIRHD. Assume a population of 150 million. + ``` + + For more information on the logic of how the AI assistant converts from incidence to prevalence data, see the [instructions](https://github.com/DARPA-ASKEM/askem-beaker/blob/4c17fc262e01badb4427a5f3e529940c17510677/src/askem_beaker/contexts/dataset/incidence_to_prevalence.md){ target="_blank" } the assistant follows in these cases. - > `let's assume avg time to recover is 14 days and time to exit hosp is 10 days. Can you convert this data into **prevalence** data? please map it to SIRHD. Assume a population of 150 million.` - -For more information on the logic of how the AI assistant converts from incidence to prevalence data, see the [instructions](https://github.com/DARPA-ASKEM/askem-beaker/blob/4c17fc262e01badb4427a5f3e529940c17510677/src/askem_beaker/contexts/dataset/incidence_to_prevalence.md){ target="_blank" } the assistant follows in these cases. - -### Calculate peak times - -Calculating peak times can help you identify critical periods of disease spread, enabling targeted interventions. - -??? example "Calculate peak times" +??? list "Calculate peak times" + Calculating peak times can help you identify critical periods of disease spread, enabling targeted interventions. + This prompt takes a collection of daily infection rates for various FIPs codes and identifies the peak time for each one: - - > `Create a column named "peak_time". The first column is "fips". The second column is "peak_time", and its values are the values of the "timepoint" column for which the values of the FIPS columns are at a maximum.` \ No newline at end of file + + ```{ .text .wrap } + Create a column named "peak_time". The first column is "fips". The second column is "peak_time", and its values are the values of the "timepoint" column for which the values of the FIPS columns are at a maximum. + ``` \ No newline at end of file diff --git a/docs/modeling/create-model-from-equations.md b/docs/modeling/create-model-from-equations.md index 69bf2dc..f539fb2 100644 --- a/docs/modeling/create-model-from-equations.md +++ b/docs/modeling/create-model-from-equations.md @@ -117,7 +117,7 @@ The Create model from equations operator works with LaTeX equations. When adding
    -- __Derivatives__ +- #### Derivatives --- @@ -135,7 +135,7 @@ The Create model from equations operator works with LaTeX equations. When adding - Place **first-order derivatives** to the left of the equal sign. -- __Mathematical notations__ +- #### Mathematical notations --- @@ -144,16 +144,16 @@ The Create model from equations operator works with LaTeX equations. When adding - Capital sigma (`Σ`) and pi (`Π`) notations for summation and product. - Non-ASCII characters. - Homoglyphs (characters that look similar but have different meanings). - - To indicate multiplication, use `*` between scalar quantities. + - To indicate multiplication, use ` * ` between scalar quantities. -- __Superscripts and subscripts__ +- #### Superscripts and subscripts --- - To denote **indices**, use LaTeX subscripts `_` instead of superscripts and LaTeX superscripts `^`. - Use **LaTeX subscripts** `_` instead of Unicode subscripts. Wrap all characters in the subscript in curly brackets `{...}`. -- __Variable and symbol usage__ +- #### Variable and symbol usage --- diff --git a/docs/modeling/review-and-enrich-model.md b/docs/modeling/review-and-enrich-model.md index ac8c630..e3fb3ce 100644 --- a/docs/modeling/review-and-enrich-model.md +++ b/docs/modeling/review-and-enrich-model.md @@ -38,7 +38,7 @@ To get an understanding of a model, you can open a detailed view that summarizes * Click Menu :fontawesome-solid-ellipsis-vertical:{ title="Menu" aria-labelledBy="Menu" } > :octicons-pencil-24:{ aria-hidden="true"} **Rename**, type a unique name for the model, and press ++enter++. -# Enrich model metadata +## Enrich model metadata If your model lacks descriptive details about its variables and parameters, you can use Terarium's model enrichment capability to complete the: diff --git a/docs/upload-resources/index.md b/docs/upload-resources/index.md index 089be2c..03ea40d 100644 --- a/docs/upload-resources/index.md +++ b/docs/upload-resources/index.md @@ -1,15 +1,15 @@ --- -title: "Upload modeling resources" +title: "Gather modeling resources" --- -# Upload modeling resources +# Gather modeling resources -With Terarium, you can upload, store and manage resources needed for your modeling and simulation workflows. You can upload documents, models, and datasets from: +With Terarium, you can gather, store and manage resources needed for your modeling and simulation workflows. You can pull in documents, models, and datasets from: - [Your computer](#upload-resources). - [Other projects in Terarium](#get-resources-from-other-projects). -Uploaded documents, models, and datasets appear in your project resources. You can transform and simulate them by dragging them into a workflow. +Documents, models, and datasets appear in your project resources. You can transform and simulate them by dragging them into a workflow. ## Upload resources diff --git a/mkdocs.yml b/mkdocs.yml index 63c76e3..91f4e29 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -92,7 +92,7 @@ nav: - Get started: - Using Terarium: get-started/using-terarium.md - "Tutorial: Recreate, modify, and simulate a model": get-started/example-workflow.md - - Upload modeling resources: upload-resources/index.md + - Gather modeling resources: upload-resources/index.md - Build a workflow graph: workflows/index.md - Review and transform data: - datasets/index.md From cdd5b3bac822f2989eb0b95db6f29a668ba32680 Mon Sep 17 00:00:00 2001 From: mecrouch Date: Wed, 18 Dec 2024 16:47:50 -0500 Subject: [PATCH 3/4] Fix example equation --- docs/modeling/edit-model.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/modeling/edit-model.md b/docs/modeling/edit-model.md index 2fa4893..0678f37 100644 --- a/docs/modeling/edit-model.md +++ b/docs/modeling/edit-model.md @@ -130,7 +130,7 @@ The following sections show examples of how to prompt the Edit model AI assistan You can use the Edit model operator to take a high-level equation and progressively expand it by substituting definitions of variables into the equation. By doing this in multiple iterative steps over several connected Edit model operators, you can create a fully detailed model with clear relationships and dependencies. ```{ .text .wrap } - Replace rate law t1 with the equation i * s ^ omega (1 - (1/e)**(theta * IR**2 * (v * (i * IR * Vdrop * tContact / ((AER + lambda + 5) * Vair ))))) + Replace rate law t1 with the equation i * s * omega * (1 - (1/e)**(theta * IR**2 * Cv * Ci * IR * Vdrop * tContact / ((AER + lambda + S) * Vair))) ``` ## Save an edited model From b460d31d225f656232900bddf1babf2a49a85186 Mon Sep 17 00:00:00 2001 From: mecrouch Date: Wed, 18 Dec 2024 16:54:49 -0500 Subject: [PATCH 4/4] Add missing word --- docs/modeling/edit-model.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/modeling/edit-model.md b/docs/modeling/edit-model.md index 0678f37..0344198 100644 --- a/docs/modeling/edit-model.md +++ b/docs/modeling/edit-model.md @@ -56,7 +56,7 @@ Once you've completed your edits, the thumbnail preview shows the diagram or equ
    -???+ list "Add the Edit operator to a workflow" +???+ list "Add the Edit model operator to a workflow" - Perform one of the following actions: