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“Green” color is encoded as vector of size 2.“Red” color is encoded as vector of size 2.

A dummy (binary) variable just takes the value 0 or 1 to indicate the exclusion or inclusion of a category. For example, let’s say we have a categorical variable Color with three categories called “Red”, “Green” and “Blue”, we need to use three dummy variables to encode this variable using one-hot encoding. In one-hot encoding, we create a new set of dummy (binary) variables that is equal to the number of categories (k) in the variable. Here, we’ll discuss two different types of encoding: This process is called categorical variable encoding. Therefore, we need to replace these string values with numbers. Many machine learning algorithms do not support string values for the input variables. What is categorical variable encoding and why do we need it?Ĭategorical variables usually have strings for their values. For example, Gender is a nominal categorical variable whose values of “Male” and “Female” do not follow an order.

Nominal categorical variables: These are categorical variables whose values do not follow a natural order.

For example, in the variable Educational level, its values of “Elementary school”, “Some college” and “Graduate degree” follow an order in which “Graduate degree” is the highest educational level and “Elementary school” is the lowest.

Ordinal categorical variables: These are categorical variables whose values follow a natural order.

Types of categorical variablesĬategorical variables are mainly divided into two types: For example, Gender is a categorical variable that can take “Male” and “Female” for its values. A categorical variable has a finite number of categories or labels for its values. It's perfectly passable for most operations, but might fall short with HGiG in game tuning at some point in the future.You’ll often find categorical variables in your datasets. I also did a few tests in different games comparing 8bit dithered HDR to native 10bit HDR, and I honestly didn't notice much difference.

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Theoretically, Nvidia could update the drivers to force one system over the other on a given port, but from their business perspective there is no incentive to do this. The other thing about GSync is that this deal with it not working with adapters isn't actually a hardware restriction - GSync uses different protocols for DP and HDMI.

Ctrl+Shift+F2 = + HDR RGB 4-4-4 8bit + GSync - using the native HDMI 2.0 to a 5 port HDMI switch for my older legacy devices connected to HDMI Input 4 on my TV.Ī quick tap and I can seamlessly change back and forth between daily usage mode, and gaming mode.

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Ctrl+Shift+F1 = + HDR / RGB 4-4-4 10bit - using DisplayPort USB C to HDMI 2.1 adapter on HDMI Input 1 on my TV.

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What I ended up doing was leaving the legacy HDMI 2.0 connected as well, then I used the software UltraMon to make hotkey profiles: The thing with GSync is you only need it for gaming. The difference was night and day for me for regular Windows usage - everything was much crisper and more rich in colour.

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I bought the CableMatters DP USB-C to HDMI 2.1 adapter and this provides RGB 444 + HDR 10Bit using the full 40GBps of my LG CX, but sans GSync. This has been my preferred setup for gaming. There is no remaining bandwidth for HDR with this setup, and the 1/4 colour data loss is quite noticeable to me.Īlso available on HDMI 2.0 is RGB 444 8bit + HDR using dithering + GSync. Yes, the native HDMI 2.0b on my system gives GSync support running, but as mentioned it's 4-2-0 chroma subsampled. I have a 2070 and I went down this path, but I'd like to chime in on a few things: