1. Choose
24Session Information. The caretPackage. 6Available Models. The models below are available in train. The code behind these protocols can be obtained using the function getModelInfoor by going to the github repository. The caret package (short for Classification And REgression Training) is a set of functions that attempt to streamline the process for creating predictive models. The package contains tools for: data splitting; pre-processing; feature selection. Definition of caret.: a wedge-shaped mark made on written or printed matter to indicate the place where something is to be inserted. Caret is a Markdown editor for Mac, Windows and Linux. It stands out with its clean interface, productivity features and obsessive attention to detail. Download for Linux. App for iphone to download songs. For continued use Purchase License at $29.
Introducing Caret™ – A powerful platform for designing and optimizing EV incentive programs. Governments, regulated entities and the private sector are trying a wide variety of incentives to encourage electric vehicle (EV) adoption to reduce greenhouse gas (GHG) emissions. Apple iphone 4s app store.
Pick the dollar amounts and duration of any mix of incentives.
- New EVs
- Used EVs
- Internal combustion engine vehicle (ICEV) scrap and replace
- Original equipment manufacturer (OEM)
- Car dealer
- Made in America
- EV charging infrastructure
Caret Browsing
2. Explore
Compare how your choices affect program costs and progress toward your goals. Mac computers apple store.
- Program cost annually and over time
- Total EV market share and penetration annually and over time
- Number/type of EV chargers required and funded annually and total
- GHG reduction annually, total, and marginal abated cost
3. Advance
Ensure low-income communities share equitably in EV transition benefits.
- Affordability calculator identifies affordable makes/models based on household income
- Visibility ensures incentives increase the choice of affordable EV models
Caretaker
4. Optimize
Caretaker.org
Fine-tune programs based on new market data to avoid set-it-and-forget-it syndrome.
- Learning algorithm recalculates incentive amounts needed to reach goals
- Active, data-driven program management maximizes EV adoption at the lowest cost and in the shortest time